Israel Government Revenues

Israel · Monthly series · EC-IL-GR

Latest, October 2026

46.24B ILS

-1.5% from September 2026

Open interactive chartIsrael Government Revenues in the app

365B193.5B22.09BSeptember 2016October 2027
History through October 2026, the forecast path to October 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for October 2027: 47.83B ILS, with an 80% interval of 38.27B ILS to 57.65B ILS.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
November 202647.71B ILS41.27B ILS55.16B ILS
December 202648.78B ILS40.95B ILS56.90B ILS
January 202751.18B ILS41.16B ILS61.51B ILS
February 202748.17B ILS39.81B ILS56.91B ILS
March 202749.78B ILS40.48B ILS59.15B ILS
April 202749.13B ILS39.96B ILS58.42B ILS
May 202748.68B ILS39.75B ILS57.93B ILS
June 202747.37B ILS38.42B ILS57.08B ILS
July 202749.59B ILS39.32B ILS59.95B ILS
August 202748.06B ILS38.88B ILS57.56B ILS
September 202748.61B ILS39.22B ILS58.38B ILS
October 202747.83B ILS38.27B ILS57.65B ILS

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 86% of the 117 earlier readings since November 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
October 202646.24B ILS
September 202646.92B ILS
August 202647.92B ILS
July 202655.19B ILS
June 202645.70B ILS
May 202648.23B ILS
April 202650.60B ILS
March 202655.08B ILS
February 202647.77B ILS
January 202659.62B ILS
December 202548.56B ILS
November 202545.78B ILS
October 202543.41B ILS
September 202546.45B ILS
August 202543.86B ILS
July 202548.10B ILS
June 202535.51B ILS
May 202544.74B ILS
April 202548.31B ILS
March 202544.64B ILS
February 202539.58B ILS
January 202563.10B ILS
December 202447.78B ILS
November 202438.68B ILS

Source

Data: public market data feeds.

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