Air T (AIRT) Revenue (2010 - 2026)
Air T (AIRT) recorded Revenue of $115.46 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 62.9% from $70.87 million a year earlier but down 4.5% from the prior quarter.
Air T (AIRT) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Air T's Revenue came in at $371.68 million as of Jun 30, 2026, up 25.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $327.09 million, up 12.1% from FY2025.
- Annual Revenue has increased for five straight fiscal years, with a five-year compound annual growth rate of 13.3% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $291.85 million in FY2025 (+1.7%), $286.83 million in FY2024 (+16.0%), $247.32 million in FY2023 (+39.7%) and $177.08 million in FY2022 (+1.1%).
- Quarterly Revenue has ranged from $43.24 million in fiscal Q2 2022 to $120.94 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Revenue rose in five of the last eight quarters, with growth averaging 17.3%.
- Peak year-over-year performance for Revenue in the last five years was growth of 82.4% in fiscal Q4 2026, against a decline of 21.0% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $120.94 million (Q4 2026), $71.13 million (Q3 2026) and $64.15 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Air T | 76.39 Mn | -3.24 Mn | 70.16 Mn | 115.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.46 Mn |
| Mar 31, 2026 | 120.94 Mn |
| Dec 31, 2025 | 71.13 Mn |
| Sep 30, 2025 | 64.15 Mn |
| Jun 30, 2025 | 70.87 Mn |
| Mar 31, 2025 | 66.32 Mn |
| Dec 31, 2024 | 77.88 Mn |
| Sep 30, 2024 | 81.24 Mn |
| Jun 30, 2024 | 66.41 Mn |
| Mar 31, 2024 | 72.68 Mn |
| Dec 31, 2023 | 63.76 Mn |
| Sep 30, 2023 | 78.97 Mn |
| Jun 30, 2023 | 71.43 Mn |
| Mar 31, 2023 | 74.38 Mn |
| Dec 31, 2022 | 61.40 Mn |
| Sep 30, 2022 | 60.69 Mn |
| Jun 30, 2022 | 50.86 Mn |
| Mar 31, 2022 | 51.44 Mn |
| Dec 31, 2021 | 45.43 Mn |
| Sep 30, 2021 | 43.24 Mn |
Air T 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=revenue&ticker=AIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();