What is CTRA's forecasted revenue?

Coterra Energy Inc. is forecasted to generate $24.0B in next-four-quarter revenue, representing +213.9% year-over-year growth.

How accurate is the CTRA revenue forecast model?

The model has 11.9% training MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $3.8B versus the actual $2.4B.

Coterra Energy Inc. CTRA

Revenue Intelligence Report • 70 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-03-31

Coterra Energy Inc.'s latest quarterly revenue is $2.4B for the period ending 2026-03-31. The model projects $24.0B across the next four quarters (+213.9% versus the preceding four quarters). The forecast uses G&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 57.6%. These are statistical associations, not estimates of the causal effect of spending.

This page retains the historical ticker CTRA. The SEC submissions record currently lists no exchange ticker for this issuer.

Investment Thesis

The GAM forecast is based on reported revenue and G&A data through 2026-03-31. Training MAPE measures fit to historical data; the separately reported holdout error measures a withheld quarter. Spending coefficients describe associations and do not establish causation.

Next 4 Quarters

$24.0B

+213.9% YoY

G&A Elasticity

1.27x

Training Fit

11.9% MAPE

Retrospective holdout (Q1 FY2026): The model predicted $3.75B vs the actual $2.38B — an error of 57.6%.
Retrospective one-quarter holdout: model fitting and selection exclude this quarter. Historical inputs use the latest available restatements, so this is not a preserved real-time forecast.

Note: The current filings use G&A (GeneralAndAdministrativeExpense). Spending estimates refer to this expense measure, not separately reported SG&A.

Note: Coterra Energy Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Investor insight: Actual revenue ($2.4B) came in 58% below the spending-based forecast ($3.8B). This suggests spending is not yet translating to revenue at historical rates.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q1 FY2026 Period end 2026-03-31	$3.75B	$2.38B	$2.23B–$6.31B	+86.2%	✓ In range
Q2 FY2026 Period end 2026-06-30	$4.11B		$2.22B–$7.58B	+136.9%
Q3 FY2026 Period end 2026-09-30	$5.07B		$2.44B–$10.52B	+188.9%
Q4 FY2026 Period end 2026-12-31	$4.15B		$1.80B–$9.57B	+131.6%
Q1 FY2027 Period end 2027-03-31	$10.72B		$3.89B–$29.56B	+350.2%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Coterra Energy Inc.'s systematic quarterly revenue patterns relative to the trend model. A factor of 1.05 means that quarter typically runs 5% above the underlying trend; 0.95 means 5% below. Factors are computed as the median of (actual / fitted) across all available quarters.

Fiscal Quarter	Seasonal Factor	vs Trend	Interpretation	Obs.
FQ1 (Jan–Mar)	0.9998	-0.0%	In line with trend	17
FQ2 (Apr–Jun)	0.9848	-1.5%	In line with trend	17
FQ3 (Jul–Sep)	0.9414	-5.9%	-5.9% below trend	17
FQ4 (Oct–Dec)	1.0179	+1.8%	In line with trend	18

Spending and Revenue

Reading this chart: Each line shows the cumulative revenue association with a 1% change in spending over subsequent quarters. These estimates describe historical associations and do not establish causation.

Time-Varying Spending Associations

Time-varying analysis: A penalized spline model (GAM) tracks the association between log spending and log revenue over 70 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: 1.5464x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

Enhanced forecast: The time-varying model (GAM) was selected using training fit, before evaluating the withheld quarter. Its holdout error is 57.6%.

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