On 14 May 2026, the gap between the tightest and the widest USD wire spread across the Indian-bank cohort sat at roughly an order of magnitude. A USD 25,000 wire executed against the tightest desk would cost a small fraction of what the same trade would cost at the widest. The cohort is not pricing the same currency the same way, and the category labels alone do not explain why.
Today, Indian Overseas Bank sat at the tight end of the cohort with a USD TT spread of ₹0.57 (0.60% of mid). At the wide end, Standard Chartered Bank India quoted ₹5.76 (6.02%), roughly 10.1× the tightest. Every other bank in the cohort sat somewhere between.
The spread map
The chart below plots every Indian bank's USD TT spread on a single axis from tight (left) to wide (right). Each dot is one bank, colored by its cohort. Hovering reveals the exact number; clicking opens the bank's full FX page.
Notice the visible clusters. A tight head, a denser middle band, and a wide tail with one or two outliers. The cohort-average label sits in the middle; the bottom of the cohort isn't where most banks are, and that's where most of the customer upside lives.
How the bands split today
We bucket spreads into four bands: tight (≤ 1.4% of mid), narrow (1.4–3.0%), standard (3.0–4.4%), wide (above). Today's USD TT picture splits roughly as follows.
- Tight: 7 banks. These are mostly public-sector treasury desks priced for wholesale flow.
- Narrow: 1. Tighter than the cohort average; a mix of PSU and some better-pricing private banks.
- Standard: 8. Most retail private-bank pricing sits here.
- Wide: 4. The widest end, typically small-finance banks and certain foreign-bank quotes positioned for retail rather than treasury flow.
Now the part that matters for you: buy vs sell
Spread is a useful editorial summary, but it's not the question most customers actually ask. Customers ask one of two things:
- I'm sending money out. I'm buying foreign currency from my bank. What I care about is the sell rate — the rupees the bank charges me per unit of foreign currency. Lower sell = better for me.
- I'm receiving money. I have foreign currency I want to convert to rupees. What I care about is the buy rate — the rupees the bank pays me per unit of foreign currency. Higher buy = better for me.
The two-dimensional scatter below plots both. Horizontal axis is TT buy; vertical axis is TT sell (lower is better, so we put high sell at the top and low sell at the bottom). The crosshairs sit at the cohort average. The bottom-right quadrant — above-average buy AND below-average sell — is the rare quadrant where the bank wins for both customer directions at once.
Today's direction-specific leaders
- If you're sending USD out today (you care about sell): Canara Bank sold USD at ₹95.29, versus the cohort average of ₹96.98. That's the cheapest USD wire on the board.
- If you're receiving USD in today (you care about buy): Punjab National Bank bought USD at ₹95.44, versus the cohort average of ₹94.26. That's the most rupees you'd get for the same dollar today.
- Closest to "customer wins on both" (the bottom-right corner): Indian Overseas Bank. Above average on buy and below average on sell.
None of this is advice. Card rates are the upper bound on what you pay; treasury desks negotiate underneath them for sized tickets. Walking in with the ranking in hand changes the conversation.
Why cohort labels aren't the whole story
A common framing is "public-sector banks are cheap; private banks are expensive." That's directionally true on the average — but it's a poor predictor at the bank level. The widest PSU on the board today is more expensive than the tightest private bank. A foreign-bank cohort splits cleanly bimodally — one foreign desk competing with PSU treasuries at the tight end, others positioned for retail at the wide end.
The honest takeaway: walk in with the bank-level ranking, not the cohort-level ranking. The cohort tells you the prior; the bank-level number tells you what to do.
Other corridors
EUR and GBP track USD's distributional shape closely. AED is tighter at the median thanks to the strong remittance-driven volume. Less-liquid pairs (THB, HKD, SAR) widen across the board, and the buy-vs-sell asymmetry that customers should watch is more pronounced for those pairs. Use the currency picker on /insights/fx to swap currencies on the live chart.
Practical takeaways for today
- Know your direction first. Are you sending or receiving? Optimise the relevant rate, not "spread" as an abstract.
- Use the live scatter on /insights/fx to pick the bank closest to your direction's corner. The chart already filters out banks that don't quote your currency today.
- Walk in with the number. Card rates are the upper bound on what you should pay. Quote the cohort average; ask for the treasury-desk rate; expect a meaningful compression on sized tickets.
- For forwards, ask separately. Spot pricing and forward pricing are different desks. The spread scatter on this page tells you nothing about forward economics — for that, see the sample curve on /insights/fx/spread.
Where to go from here
- Live buy/sell scatter (currency switchable): /insights/fx
- Live spread map + category view + currency leaderboard: /insights/fx/spread
- Bank-by-bank cohort comparison for USD-INR: /compare/India/fx-rates/USD-INR
- Mid-market reference (live interbank): /rates/fx/USD-INR
Disclaimer. This article is a dated snapshot of indicative reference data. Figures are aggregates of each bank's own published card rates around 14 May 2026; they are not regulated quotes or advice. For statutory filings under FEMA, LRS, or TCS, the Reserve Bank of India reference rate is authoritative. See Legal & disclosures for jurisdiction-specific regulatory positions.
