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Five-Year Synthesis: Trade, Currency & Policy, FY2021-22 to FY2025-26

August 02, 2026

A synthesis across every thread in this repo, re-cut to a single consistent window: FY2021-22 to FY2025-26. Pulls together the trade totals, the goods-vs-services balance, the rupee, GDP growth, forex reserves, and the PLI policy timeline that the rest of this report examined one bulletin at a time.

MoSPI Dataset Analysis — Statistical Bulletin — Capstone

Five years, one line: imports grew nearly six times faster than exports — and a services surplus, not policy, absorbed most of the gap

Services covered most of the widening goods gap India, FY2021-22 vs FY2024-25 ($ billion) Goods deficit -$191.0bn FY2021-22 -$283.5bn FY2024-25 Services surplus $107.6bn FY2021-22 $188.9bn FY2024-25 Goods deficit +48.4% ($92.5bn wider) · Services surplus +75.6%($81.3bn wider) — services covered ~88% of the extra shortfall
Goods deficit widened by $92.5bn over five years; the services surplus grew $81.3bn, absorbing roughly 88% of the extra shortfall.
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SOURCES: this repo's own tradestat_hsn_export_import, services_trade_and_overall_balance, rbi_forex_reserves, rbi_usd_inr_exchange_rate, gdp_growth_rate and sector/PLI datasets (see each chart above) — recombined here, no new data collection.

Exports vs. imports vs. the rupee, indexed to FY2021-22 = 100

One axis, one base year — the cleanest way to compare three series measured in different units.

The Reserve Bank of India building
The rupee and forex-reserves series this five-year synthesis re-cuts are the RBI's own numbers. Reserve Bank of India Building.jpg, Schwiki, CC BY-SA 3.0, via Wikimedia Commons.
Imports Exports Rupee (INR per US$, FY average)

Imports grew 26.6% over the five years ($613.1bn → $776.0bn); exports grew 4.7% ($422.0bn → $441.7bn) — a growth ratio of roughly 5.7:1. The rupee's FY-average depreciation (74.50 → 84.68, +13.7% through FY2024-25) tracks the import bill more closely than the export line, consistent with this repo's currency bulletin: a weaker rupee should help exporters, but it hasn't been enough to close the gap. The rupee's slide has since accelerated well past this indexed window — spot INR/USD hit 96.37 by mid-July 2026, up 11.9% in the twelve months from July 2025 alone.

The goods deficit widened by $92.5bn — the services surplus covered $81.3bn of it

FY2021-22 to FY2024-25 (FY2025-26 services data not yet published).

Goods balance (deficit) Services net (surplus)

The goods deficit went from -$191.0bn to -$283.5bn (+48.4%) while the services surplus nearly doubled, from $107.6bn to $188.9bn (+75.6%). Net effect: the overall gap widened by only $11.2bn ($83.4bn → $94.6bn) — services absorbed roughly 88% of the extra goods shortfall. This is the same IT/professional-services strength this repo's trade-balance bulletin already flagged as India's real external cushion, just measured over five years instead of one.

GDP growth, latest estimate

Real GDP growth ran 10% → 8% → 9% → 6% → 7% (First Advance Estimate) across the five years — none of it near the FY2020-21 COVID trough, but the FY2024-25 print is the softest of the five.

Forex reserves, start of each FY

Reserves grew from $588.0bn (Apr-2021) to $675.2bn (RBI Weekly Statistical Supplement, retrieved 10 Jul 2026 — a later vintage than this bulletin's other datasets, which end June 2025) — up 14.8%, well behind the import bill's 26.6% growth over the same window, so import-cover in months has quietly thinned. The path also turned: reserves peaked at $728.5bn on 27 Feb 2026, then fell to a $666.9bn trough on 26 Jun 2026 — an 8.5% peak-to-trough drawdown — so the final year of this window subtracted from reserves rather than adding to them.

The PLI policy clock, compressed to five years

Every scheme milestone this report has documented, in one sequence.

What five years of data actually says
The policy response has been real and well-funded — but it hasn't yet bent the two curves that matter: import growth still outpaces export growth by nearly 6:1, and the country-concentration this repo mapped (China on imports, USA on exports) hasn't materially shifted.
This repo's import-side and export-side bulletins found China still supplied ~62% of India's electronic components in the 2020-22 data (more recent estimates put China alone at ~40% plus Hong Kong ~16%) despite PLI dating to April 2020, and the USA is a top-8 destination in 11 of 12 growth export chapters. Five years of PLI outlays (₹1.97 lakh crore committed across 14 sectors — the outlay announced with the 2020-21 Budget cycle and still PIB's standard figure through December 2025; one mid-2025 PIB release cites a revised ₹1.91 lakh crore) sit alongside a services surplus that did more to stabilise the external balance than any single scheme — not a contradiction, but a reminder that this report's own currency and country-deficit findings point the same direction: the rupee's slide and the import bill are moving together, and the offset is coming from where India already has a structural advantage (services), not from where five years of targeted incentives have been aimed (goods-import substitution).
View the five-year headline table
Errata & methodology caveats
  • This is a synthesis, not new data collection — every figure here is re-derived from datasets already retrieved for other bulletins in this repo (see each chart's own errata for original sourcing and retrieval dates).
  • The rupee's indexed line covers only FY2021-22 to FY2024-25 (FY-average basis) — FY2025-26 has no completed FY average yet, so it's shown as a labelled spot-rate marker (96.37, 17 Jul 2026) rather than extending the indexed line, to avoid mixing an annual average with a single-day spot rate on the same axis.
  • Services trade data runs one year behind goods trade (published through FY2024-25 vs. FY2025-26 for goods) — the goods-vs-services balance chart and the "88% cushion" figure are stated for FY2021-22 to FY2024-25 accordingly, not the full five-year window used elsewhere on this page.
  • Forex reserves are shown at the start of each fiscal year (April) rather than fiscal-year average, to make the series comparable to a stock measured at a point in time rather than a flow.
  • "88% cushion" and "5.7:1 growth ratio" are this bulletin's own arithmetic on public data, not official government framing — see the underlying JSON for the exact figures and formulas.
  • Underlying data: data/five_year_trade_currency_synthesis_2026-07-18.json.
herrrickshaw/mospi-dataset-analysis — a synthesis of this repo's own prior bulletins; not an official government assessment
Disclaimer: This analysis is based on publicly available government and market data cited in the article above. It is provided for informational and research purposes only and does not constitute investment, legal, or policy advice. Figures may be revised as source data is updated — verify against the original source before relying on them for decisions.

About this article: Researched, written and edited by Umashankar Triplicane Dwarakanathan, with AI research assistance; every figure is meant to trace to the primary source cited. See the Editorial Policy for how sourcing, AI use and corrections work.

Umashankar Triplicane Dwarakanathan
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Umashankar Triplicane Dwarakanathan
Investment Promotion & Energy-Sector Leader · Chennai, Tamil Nadu, India
LinkedIn → GitHub → Email +91 78273 81696
How this site works

Data-led analysis of India's trade, currency and industrial policy. Every article is built from primary official sources, and every figure links back to the release, table or filing it came from.

Sources. DGCI&S TradeStat (imports/exports, HSN-wise) · PIB (government press releases, January 2017 to today, refreshed daily) · RBI (circulars, balance of payments) · MoSPI (CPI/WPI, IIP) · PARIVESH (environmental clearances) · CCIL (bond yields) · BIS (policy rates) · SEBI, NSE/BSE and SEC filings for company data.

Interpretation. Figures carry their vintage and retrieval date; estimates and press-reported numbers are labelled as such; where sources disagree, both are shown. Corrections are made visibly, never silently. Articles are written with AI assistance from the cited sources — AI-generated text can misstate figures even when working from real material, so verify any number that matters to a decision against the linked primary source.

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