Air T (AIRT) Assets (2011 - 2026)
Air T's Assets came in at $469.06 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 146.8% from $190.04 million a year earlier and up 14.7% from the prior quarter.
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Analysis
Air T (AIRT) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T's Assets was $409.12 million, up 135.4% from FY2025.
- Assets carries a five-year compound annual growth rate of 23.8% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $173.78 million in FY2025 (-1.9%), $177.17 million in FY2024 (-6.5%), $189.56 million in FY2023 (-8.7%) and $207.6 million in FY2022 (+47.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Assets in data going back to fiscal Q4 2011.
- Year-over-year, Assets has increased for three consecutive quarters, with growth averaging 52.0% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in fiscal Q1 2027 (growth of 146.8%), and the weakest in fiscal Q2 2024 (a decline of 24.0%).
- Business Quant data shows AIRT's Assets at $409.12 million (Q4 2026), $381.77 million (Q3 2026) and $184.74 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.33 Bn | 301.85 Bn | 5.02 Bn | 127.20 Bn |
| 2 | Rtx | 263.31 Bn | 231.58 Bn | 5.81 Bn | 176.60 Bn |
| 3 | Boeing | 138.56 Bn | 47.52 Bn | 2.17 Bn | 170.74 Bn |
| 4 | Lockheed Martin | 134.21 Bn | 118.45 Bn | 2.44 Bn | 64.51 Bn |
| 5 | General Dynamics | 97.50 Bn | 82.74 Bn | 2.25 Bn | 60.21 Bn |
| 6 | Motorola Solutions | 86.68 Bn | 83.15 Bn | 1.77 Bn | 21.14 Bn |
| 7 | Howmet Aerospace | 85.32 Bn | 81.08 Bn | 1.00 Bn | 13.28 Bn |
| 8 | Northrop Grumman | 76.52 Bn | 63.97 Bn | 2.35 Bn | 52.50 Bn |
| 9 | Honeywell International | 72.51 Bn | 32.02 Bn | 2.02 Bn | 53.10 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 469.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 469.06 Mn |
| Mar 31, 2026 | 409.12 Mn |
| Dec 31, 2025 | 381.77 Mn |
| Sep 30, 2025 | 184.74 Mn |
| Jun 30, 2025 | 190.04 Mn |
| Mar 31, 2025 | 173.78 Mn |
| Dec 31, 2024 | 187.62 Mn |
| Sep 30, 2024 | 197.12 Mn |
| Jun 30, 2024 | 175.49 Mn |
| Mar 31, 2024 | 177.17 Mn |
| Dec 31, 2023 | 162.78 Mn |
| Sep 30, 2023 | 171.77 Mn |
| Jun 30, 2023 | 187.20 Mn |
| Mar 31, 2023 | 189.56 Mn |
| Dec 31, 2022 | 212.36 Mn |
| Sep 30, 2022 | 225.93 Mn |
| Jun 30, 2022 | 213.21 Mn |
| Mar 31, 2022 | 207.60 Mn |
| Dec 31, 2021 | 163.80 Mn |
| Sep 30, 2021 | 155.64 Mn |
API Access
Air T Assets 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=assets&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();