Air Industries (AIRI) Return on Sales [ROS] (2012 - 2026)
Air Industries (AIRI) reported Return on Sales [ROS] of -3.05% for Q2 2026, down 3.11 percentage points from 0.06% a year earlier but up 1.82 percentage points from the prior quarter.
Powered by 
Analysis
Air Industries (AIRI) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Air Industries' Return on Sales [ROS] came in at -1.14%, up 0.34 percentage points year-over-year; for FY2025, it was -0.71%, down 1.54 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +2.17 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 0.83% in FY2024 (+1.41 pp), -0.57% in FY2023 (-0.21 pp), -0.36% in FY2022 (-4.58 pp) and 4.22% in FY2021 (+7.09 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -6.48% in Q3 2023 and a high of 5.54% in Q2 2024.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -0.72 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 10.26 percentage points); the low point was Q3 2023 (a drop of 7.75 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -4.87% (Q1 2026), 0.66% (Q4 2025) and 3.07% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.14 Bn | 303.66 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 264.23 Bn | 232.50 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 138.64 Bn | 47.60 Bn | 2.17 Bn | 1.46% |
| 4 | Lockheed Martin | 135.20 Bn | 119.43 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | 10.48% |
| 6 | Motorola Solutions | 86.57 Bn | 83.04 Bn | 1.77 Bn | 23.02% |
| 7 | Howmet Aerospace | 86.19 Bn | 81.94 Bn | 1.00 Bn | 28.75% |
| 8 | Northrop Grumman | 76.81 Bn | 64.26 Bn | 2.35 Bn | 11.41% |
| 9 | Honeywell International | 72.42 Bn | 31.93 Bn | 2.02 Bn | 14.82% |
| 10 | Air Industries | 13.80 Mn | 4.16 Mn | 2.48 Mn | -3.05% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.05% |
| Mar 31, 2026 | -4.87% |
| Dec 31, 2025 | 0.66% |
| Sep 30, 2025 | 3.07% |
| Jun 30, 2025 | 0.06% |
| Mar 31, 2025 | -6.15% |
| Dec 31, 2024 | -0.68% |
| Sep 30, 2024 | 0.53% |
| Jun 30, 2024 | 5.54% |
| Mar 31, 2024 | -1.84% |
| Dec 31, 2023 | 4.36% |
| Sep 30, 2023 | -6.48% |
| Jun 30, 2023 | 0.55% |
| Mar 31, 2023 | -1.26% |
| Dec 31, 2022 | -5.90% |
| Sep 30, 2022 | 1.27% |
| Jun 30, 2022 | 1.78% |
| Mar 31, 2022 | 1.72% |
| Dec 31, 2020 | 1.20% |
| Sep 30, 2020 | -1.76% |
API Access
Air Industries Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=AIRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();