AgenticInvestor

Peru Fiscal Expenditure

Peru · Monthly series · EC-PE-FE

Latest, September 2026

14.83B PEN

-28.3% from August 2026

Open interactive chartPeru Fiscal Expenditure in the app

22.47B14.24B6.014BSeptember 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 16.10B PEN, with an 80% interval of 12.17B PEN to 21.99B PEN.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202615.68B PEN12.42B PEN20.51B PEN
November 202615.65B PEN12.31B PEN20.69B PEN
December 202616.49B PEN12.51B PEN21.69B PEN
January 202715.93B PEN12.34B PEN21.19B PEN
February 202716.32B PEN12.44B PEN21.54B PEN
March 202715.90B PEN12.21B PEN21.39B PEN
April 202716.16B PEN12.39B PEN21.61B PEN
May 202715.98B PEN12.24B PEN21.54B PEN
June 202716.30B PEN12.31B PEN22.03B PEN
July 202716.35B PEN12.32B PEN22.08B PEN
August 202716.63B PEN12.41B PEN22.47B PEN
September 202716.10B PEN12.17B PEN21.99B PEN

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

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 81% of the 118 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 202614.83B PEN
August 202620.68B PEN
July 202621.44B PEN
June 202613.89B PEN
May 202615.18B PEN
April 202615.54B PEN
March 202613.60B PEN
February 202619.78B PEN
January 202614.67B PEN
December 202520.51B PEN
November 202513.14B PEN
October 202513.08B PEN
September 202513.96B PEN
August 202517.34B PEN
July 202513.89B PEN
June 202516.33B PEN
May 202513.19B PEN
April 202512.13B PEN
March 202512.45B PEN
February 202516.78B PEN
January 202513.35B PEN
December 202420.10B PEN
November 202412.89B PEN
October 202412.94B PEN

Source

Data: public market data feeds.

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