Air Industries (AIRI) Return on Assets [ROA] (2015 - 2026)
Air Industries (AIRI) reported Return on Assets [ROA] of -3.20% for Q2 2026, up 1.60 percentage points from -4.80% a year earlier but down 0.70 percentage points from the prior quarter.
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Analysis
Air Industries (AIRI) Return on Assets [ROA] (2015 - 2026) Analysis & Trends
For FY2025, Air Industries posted Return on Assets [ROA] of -2.39%, up 0.30 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of -4.40 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -2.69% in FY2024 (+1.39 pp), -4.08% in FY2023 (-2.07 pp), -2.01% in FY2022 (-4.93 pp) and 2.93% in FY2021 (+0.91 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -6.17% in Q3 2023 and a high of 3.90% in Q3 2022.
- Year over year, Return on Assets [ROA] has now increased in each of the last three quarters, with an average year-over-year change of +0.75 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was Q3 2024 (a gain of 4.91 percentage points); the low point was Q3 2023 (a drop of 10.07 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -2.50% (Q1 2026), -2.47% (Q4 2025) and -3.71% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.05 Bn | 303.57 Bn | 5.02 Bn | 7.16% |
| 2 | Rtx | 264.29 Bn | 232.56 Bn | 5.81 Bn | 5.04% |
| 3 | Boeing | 139.11 Bn | 48.07 Bn | 2.17 Bn | 4.56% |
| 4 | Lockheed Martin | 135.12 Bn | 119.35 Bn | 2.44 Bn | 10.26% |
| 5 | General Dynamics | 97.72 Bn | 82.95 Bn | 2.25 Bn | 7.74% |
| 6 | Motorola Solutions | 86.43 Bn | 82.89 Bn | 1.77 Bn | 10.35% |
| 7 | Howmet Aerospace | 86.17 Bn | 81.92 Bn | 1.00 Bn | 15.48% |
| 8 | Northrop Grumman | 76.88 Bn | 64.34 Bn | 2.35 Bn | 8.75% |
| 9 | Honeywell International | 72.44 Bn | 31.95 Bn | 2.02 Bn | 10.78% |
| 10 | Air Industries | 13.80 Mn | 4.16 Mn | 2.48 Mn | -3.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.20% |
| Mar 31, 2026 | -2.50% |
| Dec 31, 2025 | -2.47% |
| Sep 30, 2025 | -3.71% |
| Jun 30, 2025 | -4.80% |
| Mar 31, 2025 | -3.32% |
| Dec 31, 2024 | -2.69% |
| Sep 30, 2024 | -1.26% |
| Jun 30, 2024 | -3.05% |
| Mar 31, 2024 | -4.40% |
| Dec 31, 2023 | -4.24% |
| Sep 30, 2023 | -6.17% |
| Jun 30, 2023 | -3.81% |
| Mar 31, 2023 | -3.11% |
| Dec 31, 2022 | -1.98% |
| Sep 30, 2022 | 3.90% |
| Jun 30, 2022 | 3.36% |
| Mar 31, 2022 | 0.45% |
| Dec 31, 2020 | 2.28% |
| Sep 30, 2020 | -3.99% |
API Access
Air Industries Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=AIRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();