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Air Industries Group: cost of revenue

Air Industries Group cost of revenue: $39.7 million for the year ending 2025-12-31, down 14.0% on the year. 14 values since 2011, each linked to its SEC filing.

All Air Industries Group financial histories

At a glance

Air Industries Group reported cost of revenue of $39.7 million for the year ending 2025-12-31, down 14.0% from $46.2 million a year earlier. From 2011 to 2025 it fell at a compound 0.5% a year, from $42.8 million to $39.7 million. Across the last five reported years it ranged from $39.7 million (2025-12-31) to $48.7 million (2021-12-31). That was 82.9% of revenue ($47.9 million) for the same year.

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

What this measure means

Costs attributed to goods produced and sold and services provided during the period. This is not the sum of every operating expense.

Exact concept: us-gaap:CostOfRevenue. 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 2011-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Cost of revenue in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3139,734,000USD2026-03-2710-K · 0001213900-26-035731 SEC
2024-01-012024-12-3146,176,000USD2026-03-2710-K · 0001213900-26-035731 SEC
2023-01-012023-12-3144,088,000USD2025-04-1510-K · 0001213900-25-031944 SEC
2021-01-012021-12-3148,686,000USD2022-03-2510-K · 0001213900-22-015031 SEC
2020-01-012020-12-3143,585,000USD2022-03-2510-K · 0001213900-22-015031 SEC
2019-01-012019-12-3145,431,000USD2021-03-2910-K · 0001213900-21-018136 SEC
2018-01-012018-12-3139,085,000USD2020-03-2710-K · 0001213900-20-007657 SEC
2017-01-012017-12-3145,002,000USD2019-06-0410-K/A · 0001213900-19-010014 SEC
2016-01-012016-12-3147,052,000USD2018-04-1910-K/A · 0001193805-18-000558 SEC
2015-01-012015-12-3163,161,000USD2017-04-2110-K · 0001193805-17-000671 SEC
2014-01-012014-12-3150,233,000USD2016-04-0410-K · 0001193805-16-003011 SEC
2013-01-012013-12-3147,598,000USD2015-03-3110-K · 0001193805-15-000450 SEC
2012-01-012012-12-3149,357,000USD2014-03-2510-K · 0001193805-14-000587 SEC
2011-01-012011-12-3142,817,000USD2013-03-2910-K · 0001193805-13-000723 SEC

Related AIR INDUSTRIES GROUP histories

All 57 Air Industries Group histories

Inspect the source

Entity
AIR INDUSTRIES GROUP / CIK 0001009891
Captured
SEC response SHA-256
59d060c3e3a47187bffcc59b02c15fa4e6befed41accdf89fac001b3e7f2a1b9

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.

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001009891.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"])))