Air T (AIRT) Non-Current Assets (2011 - 2026)
Air T (AIRT) posted Non-Current Assets of $310.94 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 220.2% from $97.1 million a year earlier and up 24.8% from the prior quarter.
Air T (AIRT) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T's Non-Current Assets came in at $249.15 million, up 827.7% from FY2025.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 48.1% (FY2021 to FY2026).
- In prior fiscal years, Air T's Non-Current Assets was $26.86 million in FY2025 (-5.6%), $28.46 million in FY2024 (-61.0%), $73.01 million in FY2023 (-8.0%) and $79.36 million in FY2022 (+126.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Non-Current Assets has increased in each of the last three quarters, with growth averaging 171.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q4 2026, with growth of 827.7%; the weakest was fiscal Q4 2024, with a decline of 61.0%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $249.15 million (Q4 2026), $220.7 million (Q3 2026) and $88.93 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.33 Bn | 301.85 Bn | 5.02 Bn | 85.67 Bn |
| 2 | Rtx | 263.31 Bn | 231.58 Bn | 5.81 Bn | 1.30 Bn |
| 3 | Boeing | 138.56 Bn | 47.52 Bn | 2.17 Bn | 41.47 Bn |
| 4 | Lockheed Martin | 134.21 Bn | 118.45 Bn | 2.44 Bn | 33.51 Bn |
| 5 | General Dynamics | 97.50 Bn | 82.74 Bn | 2.25 Bn | 33.33 Bn |
| 6 | Motorola Solutions | 86.68 Bn | 83.15 Bn | 1.77 Bn | 14.43 Bn |
| 7 | Howmet Aerospace | 85.32 Bn | 81.08 Bn | 1.00 Bn | 9.16 Bn |
| 8 | Northrop Grumman | 76.52 Bn | 63.97 Bn | 2.35 Bn | 35.52 Bn |
| 9 | Honeywell International | 72.51 Bn | 32.02 Bn | 2.02 Bn | 38.78 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 310.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 310.94 Mn |
| Mar 31, 2026 | 249.15 Mn |
| Dec 31, 2025 | 220.70 Mn |
| Sep 30, 2025 | 88.93 Mn |
| Jun 30, 2025 | 97.10 Mn |
| Mar 31, 2025 | 95.27 Mn |
| Dec 31, 2024 | 97.51 Mn |
| Sep 30, 2024 | 94.51 Mn |
| Jun 30, 2024 | 74.82 Mn |
| Mar 31, 2024 | 74.29 Mn |
| Dec 31, 2023 | 73.45 Mn |
| Sep 30, 2023 | 73.50 Mn |
| Jun 30, 2023 | 74.35 Mn |
| Mar 31, 2023 | 73.01 Mn |
| Dec 31, 2022 | 81.27 Mn |
| Sep 30, 2022 | 79.40 Mn |
| Jun 30, 2022 | 76.07 Mn |
| Mar 31, 2022 | 79.36 Mn |
| Dec 31, 2021 | 57.00 Mn |
| Sep 30, 2021 | 36.62 Mn |
Air T Non-Current 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=non-current-assets&ticker=AIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();