Air Industries (AIRI) Cost of Revenue (2012 - 2026)
Air Industries' Cost of Revenue was $9.51 million in Q2 2026, down 10.5% from $10.63 million a year earlier but up 5.6% from the prior quarter.
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Analysis
Air Industries (AIRI) Cost of Revenue (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Air Industries' Cost of Revenue was $37.51 million through Jun 30, 2026, down 14.4% year-over-year; for FY2025, it was $39.73 million, down 14.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $46.18 million in FY2024 (+4.7%), $44.09 million in FY2023 (-3.7%), $45.79 million in FY2022 (-6.0%) and $48.69 million in FY2021 (+11.7%).
- Quarterly Cost of Revenue has moved between $8.01 million (Q3 2025) and $13.18 million (Q4 2022) over five years.
- Compared with a year earlier, Cost of Revenue has declined for six straight quarters, with an average decline of 8.9% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2024 (growth of 13.9%); the worst was Q3 2025 (a decline of 24.5%).
- Per Business Quant data, AIRI's Cost of Revenue in the three quarters before Q2 2026 was $9 million (Q1 2026), $10.98 million (Q4 2025) and $8.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Air Industries | 13.19 Mn | 3.55 Mn | 2.48 Mn | 9.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.51 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2025 | 10.98 Mn |
| Sep 30, 2025 | 8.01 Mn |
| Jun 30, 2025 | 10.63 Mn |
| Mar 31, 2025 | 10.10 Mn |
| Dec 31, 2024 | 12.48 Mn |
| Sep 30, 2024 | 10.61 Mn |
| Jun 30, 2024 | 10.93 Mn |
| Mar 31, 2024 | 12.16 Mn |
| Dec 31, 2023 | 11.32 Mn |
| Sep 30, 2023 | 11.07 Mn |
| Jun 30, 2023 | 11.04 Mn |
| Mar 31, 2023 | 10.67 Mn |
| Dec 31, 2022 | 13.18 Mn |
| Sep 30, 2022 | 11.04 Mn |
| Jun 30, 2022 | 11.59 Mn |
| Mar 31, 2022 | 9.98 Mn |
| Dec 31, 2020 | 12.43 Mn |
| Sep 30, 2020 | 12.01 Mn |
API Access
Air Industries Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=AIRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "AIRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();