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Projected earnings

As explained in Investing for Programmers

An earnings estimate is a forecast of a company’s future profit for a specified reporting period.

Projected earnings forecast a company’s future profit for a specified reporting period, commonly through earnings per share, revenue growth, and expected averages. Treat these figures as estimates to validate, not guarantees. section 4.2.6

Table 4.4 Projected earnings in millions
Ticker
Dec 2024
Dec 2027
Growth
AEVA
6.63
32 (in 2026)
382.65%
INVZ
24.30
670
2660.49%
LAZR
70.28
851
1110.8%
OUST
111.00
311.80
180.9%
Source: Seeking Alpha

Compare projected earnings across companies, reporting periods, and growth percentages before accepting an apparently attractive forecast. section 4.2.6

A programmer can cross-check platform projections with Python and yfinance, then inspect average, low, and high estimates rather than relying on one number. section 4.2.6

Reading an earnings estimate

Luminar’s projected EPS remains negative: the average estimate improves from –13.05 in the prior period to –9.94, suggesting narrower losses but no current profit. section 4.2.6

Validate projections before treating them as investment signals:

  • Compare estimates from multiple sources. section 4.2.6
  • Check whether historical data is reliable, especially for start-ups with few earnings periods. section 4.2.6
  • Compare actual results with expectations during earnings calls, while treating surprise-driven trading and leverage cautiously. section 11.2.3

How Investing for Programmers covers it

How deep it goes
Explains forecast ranges, EPS interpretation, validation, and start-up uncertainty, but stops short of building a forecasting model.
Examples
Uses four-company growth comparisons, a yfinance query, and Luminar’s average, low, high, and historical EPS estimates.
What it assumes
Assumes basic company-performance and Python familiarity while grounding interpretation in EPS, revenue growth, and analyst ranges.
What you can do after
Evaluate forecast ranges, cross-check estimates with Python, and recognize uncertainty before interpreting earnings signals.
How it connects
Links projected earnings to earnings per share, revenue growth, earnings calls, earnings surprises, sentiment analysis, and leverage.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.