Tetra Tech Inc: diluted earnings per share

At a glance

Tetra Tech reported diluted earnings per share of $0.93 per share for the year ending 2025-09-28, down 24.4% from $1.23 per share a year earlier. Across the last five reported years it ranged from $0.93 per share (2025-09-28) to $4.26 per share (2021-10-03).

Computed from the values in the table below, in USD/shares; each links to the filing it came from.

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2007-10-01 to 2025-09-28. The SEC response was captured on 2026-09-19.

Selected filing history

Related TETRA TECH INC histories

• Basic earnings per share
• Diluted weighted-average shares
• Basic weighted-average shares
• Common shares outstanding
• Total assets
• Stockholders equity
• Revenue
• Operating cash flow

All 60 Tetra Tech histories

Inspect the source

Entity

TETRA TECH INC / CIK 0000831641

Captured

2026-09-19 15:08 UTC

SEC response SHA-256

bf42d2828e771dbfdb2622bf18ce26df75006ada97b64f94444d9ff517957934

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
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• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000831641.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))