India Gross Fixed Capital Formation

India · Quarterly series · EC-IN-GFCF

Latest, Q2 2026

27.96T INR

+0.2% from Q1 2026

Open interactive chartIndia Gross Fixed Capital Formation in the app

56.73T29.38T2.022TQ4 2001Q2 2027
History through Q2 2026, the forecast path to Q2 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q2 2027: 28.52T INR, with an 80% interval of 2.61T INR to 47.43T INR.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q3 202628.04T INR22.88T INR32.78T INR
Q4 202628.14T INR18.46T INR36.29T INR
Q1 202728.62T INR6.19T INR56.73T INR
Q2 202728.52T INR2.61T INR47.43T INR

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+5%Matches the no-change baseline over 8 tests (8 tests, 6 won)
Direction
59%No clear edge over a coin flip (19 of 32 calls right in 8 tests)
Turning points
11 of 17Anticipated most turns (17 turns in 8 tests, 0 without a turn)
Error vs baseline
5% lowerError ratio 0.95; 1.00 is a tie.
Tests won
6 / 8Complete rolling backtests; ties count as no win.
Test period
2018-09-01 to 2026-06-014 observations ahead per test.
80% band coverage
81%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

That is the highest of the 40 readings since Q3 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
Q2 202627.96T INR
Q1 202627.90T INR
Q4 202526.05T INR
Q3 202526.17T INR
Q2 202516.55T INR
Q1 202517.41T INR
Q4 202414.99T INR
Q3 202415.44T INR
Q2 202415.21T INR
Q1 202415.70T INR
Q4 202314.07T INR
Q3 202314.35T INR
Q2 202314.15T INR
Q1 202315.38T INR
Q4 202212.82T INR
Q3 202212.85T INR
Q2 202213.04T INR
Q1 202214.12T INR
Q4 202112.21T INR
Q3 202112.28T INR
Q2 202111.44T INR
Q1 202113.46T INR
Q4 202011.65T INR
Q3 202010.76T INR

Source

Data: public market data feeds.

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