Air T (AIRT) Long-Term Debt Repayments (2010 - 2026)
Air T (AIRT) recorded Long-Term Debt Repayments of $1.06 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 39.5% from $1.75 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Air T (AIRT) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Air T's Long-Term Debt Repayments came in at $18.35 million as of Jun 30, 2026, down 46.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $19.04 million, down 45.7% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -6.9% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $35.04 million in FY2025 (+23.6%), $28.34 million in FY2024 (+1.8%), $27.85 million in FY2023 (+630.4%) and $3.81 million in FY2022 (-86.0%).
- The fiscal Q1 2027 figure is the lowest quarterly Long-Term Debt Repayments since fiscal Q1 2023.
- On a year-over-year basis, Long-Term Debt Repayments has declined for three consecutive quarters, with an average decline of 31.4% over the last seven quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 812.8% in fiscal Q3 2023, against a decline of 93.3% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.08 million (Q4 2026), $6.92 million (Q3 2026) and $9.29 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.29 Bn | 303.80 Bn | 5.02 Bn | 248.00 Mn |
| 2 | Rtx | 264.83 Bn | 233.10 Bn | 5.81 Bn | 2.00 Mn |
| 3 | Boeing | 138.80 Bn | 47.76 Bn | 2.17 Bn | 39.00 Mn |
| 4 | Lockheed Martin | 135.13 Bn | 119.36 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 97.94 Bn | 83.17 Bn | 2.25 Bn | 500.00 Mn |
| 6 | Motorola Solutions | 86.64 Bn | 83.11 Bn | 1.77 Bn | - |
| 7 | Howmet Aerospace | 86.01 Bn | 81.76 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 77.11 Bn | 64.57 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 72.46 Bn | 31.97 Bn | 2.02 Bn | 1.50 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 1.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | 1.08 Mn |
| Dec 31, 2025 | 6.92 Mn |
| Sep 30, 2025 | 9.29 Mn |
| Jun 30, 2025 | 1.75 Mn |
| Mar 31, 2025 | 6.37 Mn |
| Dec 31, 2024 | 21.80 Mn |
| Sep 30, 2024 | 4.35 Mn |
| Jun 30, 2024 | 2.52 Mn |
| Mar 31, 2024 | 11.23 Mn |
| Dec 31, 2023 | 1.68 Mn |
| Sep 30, 2023 | 14.18 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 15.55 Mn |
| Dec 31, 2022 | 8.19 Mn |
| Sep 30, 2022 | 3.28 Mn |
| Jun 30, 2022 | 836,000.00 |
| Mar 31, 2022 | 904,000.00 |
| Dec 31, 2021 | 897,000.00 |
| Sep 30, 2021 | 970,000.00 |
API Access
Air T Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();