Mexico Fiscal Expenditure

Mexico · Monthly series · EC-MX-FE

Latest, September 2026

7.27T MXN

+13.6% from August 2026

Open interactive chartMexico Fiscal Expenditure in the app

9.829T5.087T345.6BAugust 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 7.61T MXN, with an 80% interval of 7.20T MXN to 8.01T MXN.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 20267.97T MXN7.71T MXN8.21T MXN
November 20268.64T MXN8.32T MXN8.98T MXN
December 20269.46T MXN9.04T MXN9.83T MXN
January 20271.12T MXN581.27B MXN1.77T MXN
February 20271.54T MXN1.02T MXN2.08T MXN
March 20272.63T MXN2.12T MXN3.14T MXN
April 20273.31T MXN2.84T MXN3.79T MXN
May 20274.25T MXN3.78T MXN4.70T MXN
June 20274.80T MXN4.35T MXN5.29T MXN
July 20276.02T MXN5.56T MXN6.48T MXN
August 20276.41T MXN6.01T MXN6.83T MXN
September 20277.61T MXN7.20T MXN8.01T MXN

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Not evaluated

The serving model has no matching evaluation yet.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
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.

Model comparison

Comparison not readyA forecast and enough history for rolling backtests are required.

Reading

It is above 96% of the 117 earlier readings since October 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
September 20267.27T MXN
August 20266.40T MXN
July 20265.74T MXN
June 20264.86T MXN
May 20263.97T MXN
April 20263.18T MXN
March 20262.43T MXN
February 20261.52T MXN
January 2026837.74B MXN
December 20259.59T MXN
November 20258.46T MXN
October 20257.63T MXN
September 20257.03T MXN
August 20255.96T MXN
July 20255.34T MXN
June 20253.83T MXN
May 20253.72T MXN
April 20253.00T MXN
March 20252.27T MXN
February 20251.43T MXN
January 2025719.01B MXN
December 20249.16T MXN
November 20247.95T MXN
October 20247.23T MXN

Source

Data: public market data feeds.

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