Air T (AIRT) Total Non-Current Liabilities (2014 - 2026)
Air T (AIRT) recorded Total Non-Current Liabilities of $400.55 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 108.5% from $192.07 million a year earlier.
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Analysis
Air T (AIRT) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T reported Total Non-Current Liabilities of $400,000, down 63.6% from FY2025.
- Annual Total Non-Current Liabilities has declined for four straight fiscal years, with a five-year compound annual growth rate of -68.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $1.1 million in FY2025 (-21.4%), $1.4 million in FY2024 (-99.2%), $176.53 million in FY2023 (-2.2%) and $180.54 million in FY2022 (+45.2%).
- The fiscal Q1 2027 figure is the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2014.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 94.4%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 425.1% in fiscal Q3 2025, against a decline of 99.2% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $400,000 (Q4 2026), $381.79 million (Q3 2026) and $185.42 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 348.08 Bn | 306.60 Bn | 5.02 Bn | 95.58 Bn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn | 82.00 Mn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn | 161.64 Bn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn | 48.98 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | 14.09 Bn |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn | 15.89 Bn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn | 6.79 Bn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn | 31.46 Bn |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn | 26.94 Bn |
| 10 | Air T | 76.70 Mn | -19.22 Mn | 70.16 Mn | 400.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400.55 Mn |
| Mar 31, 2026 | 400,000.00 |
| Dec 31, 2025 | 381.79 Mn |
| Sep 30, 2025 | 185.42 Mn |
| Jun 30, 2025 | 192.07 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 178.14 Mn |
| Sep 30, 2024 | 186.13 Mn |
| Jun 30, 2024 | 169.13 Mn |
| Mar 31, 2024 | 171.35 Mn |
| Dec 31, 2023 | 154.83 Mn |
| Sep 30, 2023 | 160.82 Mn |
| Jun 30, 2023 | 174.74 Mn |
| Mar 31, 2023 | 176.53 Mn |
| Dec 31, 2022 | 188.64 Mn |
| Sep 30, 2022 | 200.79 Mn |
| Jun 30, 2022 | 186.79 Mn |
| Mar 31, 2022 | 180.54 Mn |
| Dec 31, 2021 | 141.69 Mn |
| Sep 30, 2021 | 130.52 Mn |
API Access
Air T Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();