Microfinance (MFI) Accounting Logic

First published 22 Aug 2026 · Last verified 29 Aug 2026

Microfinance is the part of NEPSE's listed universe where the balance sheet lies about the business. A commercial bank's numbers are, for all their complexity, a fairly faithful mirror of a diversified, collateralized lending operation. A "D" class microfinance institution's numbers are not. Behind a microfinance company's reported 20 percent return on equity can sit ten thousand overlapping, uncollateralized loans made to the same few hundred rural households — households who took a second loan to service the first. Reading an MFI's financials without understanding group lending, joint liability, wholesale funding, and Nepal's own multiple-borrowing crisis is like reading a hospital's revenue statement without knowing which patients are contagious. This chapter builds that understanding from the regulatory architecture up.

Lesson 31.1 — The "D" Class Tier and the Group-Lending Model

Nepal Rastra Bank licenses banks and financial institutions (BFIs) in four classes under the Bank and Financial Institutions Act: "A" class commercial banks, "B" class development banks, "C" class finance companies, and "D" class microfinance financial institutions — locally called laghubitta bittiya sanstha. The "D" class sits at the bottom of the capital-requirement ladder and the top of the risk ladder. These institutions exist for one regulatory purpose: to deliver small, largely collateral-free credit to low-income and "deprived sector" borrowers who commercial banks are unwilling or unable to underwrite directly.

The defining operational feature of an MFI is not its size but its lending methodology. Nepali MFIs overwhelmingly use the Grameen-derived group-lending model: borrowers are organised into centres of roughly twenty to forty women, subdivided into groups of five to eight, who meet weekly or biweekly with a field officer. Loans are approved and disbursed to individuals, but the group carries joint liability — if one member defaults, the group is expected to cover the shortfall or is collectively denied further credit. This is the mechanism that historically substituted for collateral and produced repayment rates that looked, on paper, better than secured commercial lending.

Why joint liability is an accounting fact, not just a social one

For the analyst, joint liability changes what a "non-performing loan" means. In a commercial bank, one borrower's default is an isolated credit event. In an MFI operating true group liability, one borrower's default is a leading indicator for four to seven others, because the social contract that enforced repayment has just been shown not to work. When you see an MFI's portfolio at risk (PAR) figure move, do not model it as an independent draw from a stable default distribution — model it as correlated risk that can cascade through a centre once trust breaks down. This is precisely the mechanism that turned a manageable pocket of stress into a sector-wide problem after 2023, discussed at length in Lesson 31.5.

The other structural feature that distinguishes "D" class institutions from commercial banks is the split between deposit-taking and non-deposit-taking MFIs. A small number of nationally licensed MFIs — Nirdhan Utthan Laghubitta Bittiya Sanstha and Chhimek Laghubitta Bittiya Sanstha among the most prominent — are permitted to mobilize public deposits and operate at a scale closer to a small bank. The great majority of NEPSE-listed "D" class companies, however, are retail lenders that do not take retail deposits at all, and instead fund their loan books almost entirely through borrowed money. This is the single most important fact to internalize before you open an MFI's balance sheet, and it is the subject of the next lesson.

Lesson 31.2 — Funding Structure: Wholesale Borrowing vs. Deposits

A commercial bank's cost of funds is anchored by its deposit base — current, savings, and fixed deposits collected from the public, generally the cheapest source of funds in the system. Most Nepali MFIs do not have that option. Their funding comes overwhelmingly from wholesale borrowings: term loans taken from commercial banks and development banks, which are themselves discharging a regulatory obligation.

NRB requires "A" class commercial banks to direct a defined share of their loan portfolio into designated priority categories: a minimum of roughly 10 percent to agriculture, a combined minimum of about 20 percent across tourism, micro, small and medium enterprises, energy, information technology, and export-oriented businesses using domestic raw materials, and at least 5 percent to the "deprived sector" — roughly 35 percent of a commercial bank's loan book in aggregate. Rather than originate deprived-sector loans directly, which is operationally expensive and unfamiliar territory for a commercial bank's credit staff, banks satisfy this quota by extending wholesale loans to MFIs, who then re-lend the money in small, collateral-free tranches to end borrowers. The wholesale loan to the MFI counts toward the bank's regulatory requirement even though the bank never touches the underlying borrower relationship.

This funding structure has three consequences an investor must model explicitly.

First, cost of funds for a typical retail MFI is a function of the interbank wholesale lending rate, not the deposit rate — meaning MFI funding costs move with the same liquidity cycle that drives commercial bank base rates, but with a spread on top for intermediation risk. When systemic liquidity tightens and banks' own cost of funds rises, that cost is passed straight through to MFIs, compressing their net interest margin from the funding side even before considering asset-quality deterioration.

Second, MFIs are structurally short on funding diversification. A retail MFI drawing 70 to 90 percent of its liabilities from a handful of commercial-bank wholesale lines has effectively no lender of last resort and no depositor base to fall back on if a lending bank pulls a credit line during a stress episode — which is exactly the kind of correlated, pro-cyclical behaviour that showed up across the sector as bank credit committees grew cautious on MFI wholesale exposure through 2025.

Third, the distinction between "wholesale" MFIs and "retail" MFIs in NRB's own reporting is not cosmetic. Wholesale MFIs are companies whose primary business is re-lending to smaller retail MFIs and cooperatives rather than lending directly to end borrowers — Sana Kisan Bikas Laghubitta Bittiya Sanstha is the best-known example of this category. Wholesale MFIs sit one layer further removed from the ultimate borrower and have historically shown materially better asset quality than retail MFIs, precisely because they are lending to institutions with underwriting infrastructure rather than to individual borrowers directly. When NRB data shows wholesale-MFI non-performing loans at roughly 2.9 percent against retail-MFI non-performing loans north of 7 percent, that gap is the funding-structure distinction made visible in the numbers.

Lesson 31.3 — The Interest Rate Cap Regime and Its Business Model Consequences

Because MFI borrowers are, almost by definition, price-insensitive and information-poor relative to commercial bank customers, NRB has regulated MFI lending rates directly and repeatedly — far more aggressively than it regulates commercial bank pricing. The history of this intervention is itself a study in how the regulator's understanding of the sector's real economics has evolved, and every rate-cap change directly compresses or expands MFI net interest margin, so an investor needs the sequence, not just the current rule.

In 2016, NRB capped the interest rate spread — the gap between an MFI's cost of funds and its lending rate — at 7 percentage points, forcing MFIs whose cost of borrowing rose to either compress margin or push lending rates up within that spread ceiling. Over the following years, MFI lending rates crept toward the high teens as cost of funds rose and MFIs used the full spread allowance. By late 2023, NRB's own internal study concluded that a flat 15 percent lending-rate ceiling then in force was economically unworkable for smaller, higher-cost-structure MFIs, and recommended moving to a spread-based, cost-reflective framework instead of an absolute cap.

NRB acted on that recommendation in stages. It first affirmed a hard 15 percent maximum lending rate applicable to microfinance loans generally, then, for loans disbursed from Shrawan 1, 2082 (July 16, 2025) onward, replaced the flat cap with a base-rate-plus-spread system: each MFI must compute its own base rate from its actual cost of funds, administrative costs, and loan-loss risk, and may add no more than 3 percentage points on top of that base rate to arrive at the interest rate charged to borrowers. Loans disbursed before that date continue to be governed by the 15 percent absolute ceiling until they mature or are rolled over. Under the new regime, an MFI publishing a base rate of 11 percent can charge borrowers a maximum of 14 percent — a materially different economic outcome from a flat 15 percent ceiling for an MFI whose true cost structure sits below the old cap.

The business-model consequence of this history is straightforward but easy to underweight: an MFI's profitability is now a direct function of its administrative efficiency, because the rate ceiling is calculated from the MFI's own cost base rather than fixed externally. An MFI with a bloated branch network, excess field staff, or high provisioning needs will show a higher permissible base rate — but that higher rate is precisely evidence of a weaker underlying cost structure, not a sign of pricing power. When you compare two MFIs' reported yields under the new regime, a higher yield is a red flag about cost efficiency and risk, not a green flag about margin strength.

Lesson 31.4 — Portfolio at Risk, Write-Offs, and MFI-Specific Provisioning

Commercial bank credit quality is conventionally tracked through non-performing loan (NPL) ratios, calculated on loans overdue past a fixed threshold. Microfinance analysts worldwide, including in Nepal, additionally track Portfolio at Risk (PAR) — most commonly PAR30 (the share of outstanding loan principal with any payment overdue by 30 days or more) — because in group-lending models, delinquency spreads through joint-liability networks faster than it converts into formal default. PAR30 is a leading indicator; the NPL ratio that eventually shows up in NRB aggregate data is a lagging confirmation of the same stress.

NRB's Unified Directives — most recently updated under the 2081 framework, with specific microfinance provisioning treated under Directive 1.081 — set loan classification and provisioning rules for "D" class institutions that broadly mirror, but are calibrated differently from, the rules applied to commercial banks. Loans are classified into pass, watchlist, substandard, doubtful, and loss categories based on days past due, with escalating provisioning requirements at each stage; loss-category loans typically require full or near-full provisioning. MFIs are additionally required to maintain minimum capital ratios calibrated to their risk profile — a minimum Tier 1 capital ratio and a minimum total capital fund ratio measured against risk-weighted assets, both lower in absolute terms than the equivalent commercial-bank requirements but calibrated against a much less diversified, uncollateralized asset base, which is precisely why regulators watch MFI capital adequacy so closely during stress periods.

Write-off policy: the number that hides in the footnotes

Because the great majority of MFI lending is genuinely uncollateralized — NRB data on the sector shows roughly 85 percent of outstanding microfinance loans carrying no physical collateral at all — recovery on a defaulted MFI loan is fundamentally different from recovery on a defaulted, collateralized commercial bank loan. There is no property to seize, no asset to auction. This makes an MFI's write-off policy — how quickly and how completely it removes irrecoverable loans from its books — one of the most consequential and most easily manipulated disclosures in the entire financial statement.

An MFI that delays write-offs keeps a loan technically "on book," reported as merely provisioned rather than written off, understating the true, permanent loss the institution has already suffered in economic terms. Because provisioning flows through the income statement as an expense while a write-off is a balance-sheet reclassification against already-booked provisions, an MFI under earnings pressure has a direct incentive to under-provision rather than to delay write-offs outright — the two levers work together to flatter reported profitability in a stress period.

Sector-wide, the direction of travel through 2025 and into 2026 has been unambiguous and severe. NRB data for retail MFIs showed the reported NPL ratio rising from 6.17 percent at the end of Asar 2081 to 7.25 percent at the end of Asar 2082 — a 27 percent year-on-year increase in the ratio — while total loan-loss provisioning for retail MFIs grew to roughly Rs 26.24 billion, of which about Rs 15.71 billion was specifically earmarked against non-performing loans, itself up nearly 18 percent year-on-year. Wholesale MFIs, lending through institutional intermediaries rather than directly to end borrowers, showed a materially lower but still rising NPL ratio of about 2.93 percent, up 13 percent year-on-year, with total provisioning around Rs 2.19 billion. And by mid-April 2026, sector-wide data reported in the financial press showed the picture had deteriorated further still: an aggregate MFI non-performing loan ratio of 11.32 percent, up sharply from about 7 percent just nine months earlier, with total bad loans across the sector reaching roughly Rs 54.08 billion — a 74 percent year-on-year increase — against a total outstanding MFI loan base of approximately Rs 500 billion.

Lesson 31.5 — The Over-Indebtedness Crisis: Multiple Borrowing and Systemic Risk

The single most important story in Nepali microfinance over the past several years is not any one company's mismanagement — it is a structural, sector-wide over-indebtedness crisis driven by multiple borrowing: the same low-income household taking loans from several MFIs simultaneously, often to service the interest and principal owed to the others.

The mechanics are straightforward and, in hindsight, predictable. As the number of licensed MFIs multiplied through the 2010s and competition for borrowers intensified, MFI field officers — under pressure from boards and management to grow loan books and hit profit targets — increasingly extended credit to borrowers who were already clients of other MFIs, without adequate cross-checking of a borrower's total outstanding obligations across institutions. One MFI's own chief executive has candidly acknowledged the underlying incentive problem in the Nepali press: boards push CEOs for higher profits, and that pressure translates directly into looser, more reckless lending standards at the point of disbursement. Reporting on the crisis documented at least one borrower whose obligations, spread across five separate microfinance companies — among the institutions named in that reporting were Forward Community Microfinance, Mero Microfinance, Mithila Laghubitta, Deprosc Laghubitta, and Sana Kisan Bikas Laghubitta — ballooned from a manageable starting point to roughly Rs 4.5 million over four years, purely through the compounding of interest and rollover borrowing used to keep multiple lenders simultaneously satisfied. Sector estimates put the population in acute repayment distress at roughly 100,000 borrowers out of a total microfinance client base of about 3.31 million — a minority in headcount terms, but concentrated enough, and correlated enough through shared centres and shared informal credit networks, to move the entire sector's reported NPL ratio.

Why this is a business-model failure, not just a borrower failure

It is tempting to read multiple borrowing purely as a story about financially unsophisticated borrowers taking on debt they could not manage. That framing is incomplete and, for an equity analyst, actively misleading. Multiple borrowing was enabled — indeed, was structurally invited — by the absence of a functioning shared credit bureau discipline across MFIs during the years the sector was growing fastest, combined with management incentives (growth targets, disbursement-linked staff bonuses, board pressure for profit growth) that rewarded loan-book expansion over credit-quality discipline. Every MFI that disbursed a loan to an already-indebted borrower without checking that borrower's obligations elsewhere was making an underwriting decision, and every one of those decisions shows up, eventually, in the PAR and NPL data reviewed in Lesson 31.4. The crisis is therefore best read by the investor as a governance and underwriting-discipline story playing out across an entire sector simultaneously — which is exactly why it moved from "individual company problem" to "regulator's top concern" so quickly.

The regulatory response has compounded the pressure on the sector's structure. Concerned about the concentration of ownership and control that had built up as commercial banks and development banks acquired stakes in microfinance companies — partly as a route to more easily satisfy their own deprived-sector lending quotas discussed in Lesson 31.2 — NRB issued a directive in January 2022 forcing consolidation wherever a BFI held more than a 10 percent minority stake, or 51 percent or greater majority control, in a microfinance company, with an initial deadline of Ashar-end 2079 (mid-2022) for affected institutions to submit merger action plans. That directive has since been adjusted and relaxed at the margins — including extended timelines and provisions allowing wholesale MFIs formed through merger to continue lending operations for up to five years post-merger — but the underlying policy direction has been consistent and firm: NRB wants a smaller number of better-capitalised, better-governed microfinance institutions, not a large number of thinly capitalised ones competing recklessly for the same borrower base. For a NEPSE investor, this means the "D" class universe you are analysing today is smaller, and in principle more consolidated, than it was five years ago — and further merger activity, sometimes forced rather than voluntary, remains a live possibility for individual holdings.

Lesson 31.6 — Reading MFI Financial Statements: Red Flags and Valuation Adjustments

Bringing the previous five lessons together, here is the practical checklist to run before valuing any NEPSE-listed microfinance company.

Step one: classify the funding base. Pull the borrowings note and the deposits note (if any) separately. Establish what share of total liabilities is wholesale borrowing, how concentrated that borrowing is by lender, and what its weighted average cost is. An MFI reliant on three or four commercial-bank lending relationships is exposed to a credit-line-withdrawal risk that a diversified retail deposit base does not carry. Cross-reference against whether the company is one of the small number of nationally licensed, deposit-taking MFIs — those institutions carry a fundamentally different funding risk profile than a purely wholesale-funded retail MFI.

Step two: locate the true asset-quality picture, not the headline NPL ratio. Compute the gross loss-adjusted NPL ratio described in Lesson 31.4 by adding the period's write-offs back into both numerator and denominator. Compare the resulting figure against the sector benchmarks in the table above — an individual MFI reporting materially better asset quality than the sector-wide 11.32 percent figure deserves scrutiny of its write-off timing before you accept the number as evidence of superior underwriting.

Step three: test the yield against the base-rate framework. Under the post-Shrawan-2082 pricing regime, an MFI's disclosed average lending yield should be broadly consistent with its own disclosed base rate plus no more than 3 percentage points, for the portion of the book disbursed after that date. A yield that runs meaningfully above that ceiling on new-loan disbursements is either a disclosure or compliance problem, or evidence that a large share of the book remains legacy loans still governed by the older flat 15 percent cap and has not yet rolled over into the new framework — either way, it changes your forward margin assumption.

Step four: check for merger and crossholding exposure. Review the shareholding structure for BFI promoter stakes near or above the 10 percent minority or 51 percent majority thresholds that triggered the 2022 consolidation directive. A holding near those thresholds carries a real possibility of forced merger, dilution, or restructuring that a pure earnings-multiple valuation will not capture.

Step five: stress-test for correlated, network-level credit risk. Do not model MFI credit losses as independent, diversifiable events across a loan book of thousands of small loans. Model them as correlated within centres and correlated across an investor's basket of MFI holdings, because Nepal's own recent experience shows that once over-indebtedness triggers repayment breakdown in one part of the network, the group-liability mechanism that once enforced discipline can just as quickly transmit stress through it.