L&T Finance Targets 2.0%–2.2% Credit Cost by Q4FY27

L&T Finance Limited — Q2 FY2026-27 Earnings Call (held Oct 16, 2026)

1. Overall Tone of Management: Optimistic

Management repeatedly highlights “consistently strong quarter,” “highest-ever” profitability, confidence in hitting guided corridors, and expects “reasonably strong Q3.” Even when discussing risks (monsoon/drought, IRDAI commission cuts, repo hikes), responses are framed as manageable with guardrails and technology.

2. Key Themes from Management Commentary

Macro resilience + rural monitoring: India demand described as resilient despite geopolitical volatility and El Niño/monsoon uncertainty; management stresses close watch on rural geographies with rainfall deficits.
Profitability and quality-led growth: Record PAT ₹975 Cr (+33% YoY); RoA 2.60% and RoE 13.56% improving sequentially.
Risk-calibrated disbursement strategy: They attenuated rural disbursement momentum and raised risk guardrails due to monsoon uncertainty; plan to increase risk-calibrated rural momentum once clarity improves.
Credit cost improvement via structural measures: Credit cost moderated to 2.46% (from 2.54% in Q1), attributed to collections excellence and AI-led portfolio management (Project Cyclops); confidence to reach 2.0%–2.2% by Q4FY27.
NIM stability supported by liability management: NIMs + Fees stable ~10.48%; repo hikes expected to be absorbed via lower base WACB and ALM actions.
Lakshya 2031 “Transformation → Delivery”: Emphasis on execution consistency; book growth 28% YoY in Q2 and confidence in RoA exit target 2.8%–3% by Q4FY27.
Strategic initiatives accelerating:
Project Hercules (agentic AI cross-sell) with early conversion signal: “conversion… running at 14%+ as of first week of Oct’26.”
Payments platform: UPI live, CUG testing; PPI license applied; rollout in FY28 subject to RBI approval.
Gold loan scale-up + branch transformation: Gold loan disbursements ₹3,237 Cr (+229% YoY); Sampoorna branches scaled to 151 (with 33 integrated with gold loan). Targeting ~800 branches by end of this year and ~2,000 post-pause.

3. Q&A Analysis

Theme A: Cost of funds / NIM impact of repo hikes

Core questions
How will they manage repo rate hikes and whether assets will be repriced (floating home loans vs fixed)?
Sustainability of NIMs + Fees corridor (10%–10.5%).
Management response
They reduced WACB by ~25 bps this quarter via timing/mix, PSL benefits, CP tenor strategy, and PTC transactions; base brought down to ~6.95%.
Repo hikes expected: “At max, we may have 2 more coming up in December and Feb.”
NIMs + Fees expected to remain mid of 10%–10.5%; repricing: only home loans (variable) (~₹25,000 Cr) will be repriced “over a period of time.”
Notable / evasive elements
Incremental borrowing yield and exact repricing timing were discussed qualitatively; no precise asset repricing schedule beyond “over a period of time.”

Theme B: Rural underwriting quality under drought / monsoon risk

Core questions
How will underwriting guardrails change state-wise (Karnataka/Maharashtra/AP/Telangana drought districts)?
Any risk to collections/credit cost in rural cohorts?
Rough exposure mix to drought-affected states.
Management response
Guardrails strengthened in drought-declared districts; rural disbursements tempered in Q2 and will increase in Q3 (festive quarter) once kharif clarity improves.
They claim no visible risk pocket: “at least as of now, there is no pocket… risk buildup.”
Collection efficiency cited as 99.7%–99.8% for Rural Business Finance; drought exposure quantified: ~₹1,033 Cr in drought-declared areas out of ₹31,500 Cr rural group/business loans (~3.3%).
LAP described as “least concern,” with delinquency index “10% of industry delinquency.”
Notable / unusually strong answers
Very confident language: “we are very, very certain” and “I do not foresee any sort of risk accentuation,” despite acknowledging climatic uncertainty.

Theme C: Collection efficiency blips / AI self-cure experiments

Core questions
Why did Two-wheeler collections soften (esp. September)?
Is it structural or experimental?
Any risk to credit cost?
Management response
Explained as an AI self-cure experiment: attempted to push self-cure from ~43% to 50%–55%, which “did not deliver the intended results.”
They assert it’s not structural and reverted: “we are back to similar collection efficiencies… in October.”
Strong / clear answer
This was one of the more transparent explanations in the call, with a direct “experiment → outcome → revert” narrative.

Theme D: IRDAI insurance commission cuts—impact on RoA / levers

Core questions
What is the revenue impact of IRDAI consultation paper (commission rationalization)?
If insurance-linked fee revenue is cut, what offsets exist to still reach RoA 3%–3.2%?
Management response
They expect “soft landing” and refuse to quantify impact because it’s still under discussion.
They cite multiple offsets:
- Plan B: cross-sell and payments (PPI) to diversify fee revenues.
- Cost-to-income improvement: cost-to-income “about 39%” and falling; AI-driven efficiencies.
- Accelerate one-to-one retail insurance distribution channel; H2 accelerated build-out.
Evasive / partial
No quantified RoA impact; relies on regulatory negotiation and “paper over” via other revenue/cost levers.

Theme E: Personal Loans disbursement flat sequentially—Cyclops implementation

Core questions
Why were PL disbursements flattish sequentially?
Is it demand or guardrail issue?
Run-rate expectations for Q3/Q4.
Management response
Not credit/demand: Cyclops implementation across multiple digital partners caused stabilization and temporary over-correction.
“almost over… one partner is left,” so BAU from here.
Monthly run-rate: ₹1,400–₹1,500 Cr, intent to step up to ₹1,700–₹1,800 Cr with calibration.
Strong
Provided a concrete run-rate range and clear reason (implementation mechanics).

Theme F: Gold loan delinquency / GS2 formation

Core questions
Any trend of customers delaying payments (GS2 formation)?
Is rollback slowing?
Management response
“BAU at the moment”; no loss episodes in ~15 months.
Recovery via auctions: “not had more than 3 episodes of auction” and recovery “in excess of 140%.”
For GS2, they attribute bullet-loan behavior to RBI norms effective 1 April (interest recognition for LTV), and note portfolio is not mature.
Clear
Answer tied to regulatory accounting mechanics rather than credit deterioration.

4. Guidance / Outlook

Explicit guidance (quantitative)

Credit cost corridor: 2.0%–2.2% by Q4FY27 (reiterated; Q2 credit cost 2.46%).
NIMs + Fees corridor: 10%–10.5% (Q2 10.48%).
RoA exit target: 2.8%–3% by Q4FY27 (Q2 2.60%).
Lakshya 2031 targets (FY31):
Book growth CAGR: 20%+ (Q2 achieved 28% YoY).
Credit cost: 2% or less over Lakshya period.
RoA: 3.0%–3.2% by FY31.
RoE: 16%–18% by FY31.
Gold loan branch plan: ~800 branches by end of this year, then ~2,000 with a pause thereafter.
Personal Loans monthly run-rate (near-term internal target): step up to ₹1,700–₹1,800 Cr monthly (from ₹1,400–₹1,500 Cr).

Implicit signals (qualitative)

Rural disbursement: increase in Q3 once monsoon clarity improves; “risk-calibrated” growth.
Repo hikes: management expects limited NIM disruption due to lower base WACB and ALM timing.
IRDAI impact: management is positioning for “minimal disruption” to Lakshya goals, but without quantification—implies reliance on regulatory outcome and internal offsets.

5. Standout Statements (direct quotes where useful)

On rural risk: “at least as of now, there is no pocket in which we really think there is risk buildup.”
On credit cost confidence: “We would like to reiterate that we are confident of achieving our guided credit cost corridor of 2%-2.2% by Q4FY27.”
On NIM resilience: “we would be in an advantageous position…” and expect NIMs+fees “in the range of 10% to 10.5%.”
On IRDAI consultation: “we expect L&T Finance to navigate… with minimal disruption to our Lakshya 2031 goals.”
On Project Hercules early traction: “conversion… running at 14%+ as of the first week of October’26.”
On Two-wheeler collections blip: “It is born out of an experiment and it is nothing structural.”
On PL disbursement flatness: “It is basically… we have gone through a very tough period of Cyclops implementation in Q2.”
On gold loan credit: “BAU at the moment… we have not had any episode of a loss so far.”

6. Red Flags / Positive Signals

Positive signals
– Clear operational explanations (e.g., Two-wheeler collection drop attributed to a specific AI experiment).
– Quantified rural drought exposure (~3.3% of rural book) and collection efficiency ranges.
– Multiple levers for fee diversification (Hercules cross-sell + payments platform + PPI).

Red flags
– Regulatory risk hedging: IRDAI impact not quantified; relies on “soft landing” and “plan B” without numbers.
– High confidence language on “no risk buildup” despite acknowledged monsoon uncertainty—could be optimistic.
– Limited disclosure on exact incremental borrowing rates and asset repricing timing (more qualitative than model-ready).

7. Historical Comparison & Consistency Analysis (vs prior calls)

a. Change in Tone Over Time

Current (Q2FY27): Optimistic, execution-focused, with strong confidence on hitting corridors.
Prior (Q1FY27, Jul 2026): Also optimistic but included more explicit prudence (“chose prudence over aggressive expansion,” tightened guardrails by letting go of potential disbursements).
Shift classification: More Optimistic
Q2 adds stronger “delivery” framing (“Transformation to Delivery”) and more confident statements on rural risk (“no pocket… risk buildup”).
Less emphasis on “we could have grown faster” than in Q1; more emphasis on scaling initiatives (Hercules, payments, gold).

b. Tracking Past Commitments vs Outcomes

Credit cost corridor by Q4FY27 (2.0%–2.2%)
Prior calls: guided toward corridor; Q1 credit cost 2.54%, Q2 improved to 2.46%.
Status: ✅ On track (sequential improvement).
RoA exit target 2.8%–3% by Q4FY27
Prior: committed; Q1 RoA 2.48%, Q2 2.60%.
Status: ✅ On track (improving trajectory).
Project Hercules rollout
Prior calls: Hercules described as upcoming; Q2 shows phase 1 implemented with early conversion 14%+.
Status: ✅ Delivered/Progressing.
Payments platform timeline
Prior: payments blueprint and operationalization expected around FY27/Q2 FY27 (in earlier FY26 call).
Current: UPI live, closed user group testing; PPI license applied; “unveil at RAISE 2026,” products in FY28 subject to RBI.
Status: ⏳ Delayed/extended vs earlier “operationalize by Q2 FY27” framing (now clearly positioned for FY28 subject to license).

c. Narrative Shifts

From “macro caution” to “execution delivery”: Q2 narrative leans more on delivery metrics and scaling (gold, cross-sell, payments) while still acknowledging macro risks.
Rural risk framing tightened: Q2 explicitly attenuated rural disbursements and raised guardrails; Q1 emphasized resumption of RBF growth after normalization.
Regulatory risk now central: IRDAI commission consultation becomes a major discussion point in Q2 (not present in earlier calls to the same extent).

d. Consistency & Credibility Signals

Credibility: Medium–High
Consistent guidance corridors (credit cost, NIM+fees, RoA) reiterated.
Explanations in Q&A often specific (e.g., AI experiment in Two-wheeler; drought exposure quantified).
However, IRDAI impact remains under-quantified, and confidence statements on “no risk buildup” are strong.

e. Evolution of Key Themes

Demand/macro: Still resilient, but monsoon uncertainty is more prominent in Q2 than in Q1.
Margins: NIM+fees stability maintained; repo hike risk addressed with ALM actions.
Credit quality: Continues improving; AI tools increasingly referenced as drivers (Cyclops + Nostradamus + guardrails).
Fee diversification: Growing emphasis—Hercules and payments now treated as key offsets to potential insurance commission compression.

f. Additional Cross-Period Insights

Technology is increasingly used not just for underwriting but for “revenue engineering”: Hercules + payments are positioned as direct responses to regulatory fee pressure (IRDAI), suggesting management is proactively managing earnings resilience beyond credit cost.
Gold loan is becoming a structural “mix lever”: management repeatedly links gold loan growth to yield/margin stability and fee/cross-sell ecosystem, implying it’s not just a growth segment but a risk-mitigation tool for the portfolio mix.