Air T (AIRT) Return on Sales [ROS] (2010 - 2026)
Air T (AIRT) recorded Return on Sales [ROS] of -11.11% in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 12.30 percentage points from 1.20% a year earlier but up 0.28 percentage points from the prior quarter.
Air T (AIRT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Air T's Return on Sales [ROS] came in at -6.69% as of Jun 30, 2026, down 7.81 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at -3.42%, down 4.08 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +1.82 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 0.65% in FY2025 (+0.21 pp), 0.44% in FY2024 (+2.22 pp), -1.78% in FY2023 (-6.73 pp) and 4.94% in FY2022 (+10.18 pp).
- Quarterly Return on Sales [ROS] has ranged from -11.39% in fiscal Q4 2026 to 15.61% in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -2.35 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 29.08 percentage points in fiscal Q4 2022, against a drop of 23.08 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -11.39% (Q4 2026), -5.31% (Q3 2026) and 8.59% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 344.32 Bn | 302.84 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 264.74 Bn | 233.01 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 138.76 Bn | 47.72 Bn | 2.17 Bn | 1.46% |
| 4 | Lockheed Martin | 135.58 Bn | 119.82 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 97.92 Bn | 83.15 Bn | 2.25 Bn | 10.48% |
| 6 | Motorola Solutions | 86.49 Bn | 82.95 Bn | 1.77 Bn | 23.02% |
| 7 | Howmet Aerospace | 86.21 Bn | 81.96 Bn | 1.00 Bn | 28.75% |
| 8 | Northrop Grumman | 77.20 Bn | 64.66 Bn | 2.35 Bn | 11.41% |
| 9 | Honeywell International | 72.22 Bn | 31.73 Bn | 2.02 Bn | 14.82% |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | -11.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.11% |
| Mar 31, 2026 | -11.39% |
| Dec 31, 2025 | -5.31% |
| Sep 30, 2025 | 8.59% |
| Jun 30, 2025 | 1.20% |
| Mar 31, 2025 | -3.89% |
| Dec 31, 2024 | 1.83% |
| Sep 30, 2024 | 4.46% |
| Jun 30, 2024 | -0.87% |
| Mar 31, 2024 | 2.00% |
| Dec 31, 2023 | -2.52% |
| Sep 30, 2023 | 0.96% |
| Jun 30, 2023 | 0.92% |
| Mar 31, 2023 | -7.47% |
| Dec 31, 2022 | 0.22% |
| Sep 30, 2022 | 0.29% |
| Jun 30, 2022 | 1.64% |
| Mar 31, 2022 | 15.61% |
| Dec 31, 2021 | 0.06% |
| Sep 30, 2021 | 1.63% |
Air T 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=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AIRT", "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=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();