Air T (AIRT) Non Operating Interest Expenses (2010 - 2026)
Air T (AIRT) recorded Non Operating Interest Expenses of $5.67 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 145.2% from $2.31 million a year earlier.
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Analysis
Air T (AIRT) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Air T's Non Operating Interest Expenses came in at $12.62 million as of Jun 30, 2026, up 44.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $12.04 million, up 43.6% from FY2025.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 21.1% (FY2021 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $8.39 million in FY2025 (+21.3%), $6.92 million in FY2024 (-12.8%), $7.94 million in FY2023 (+60.4%) and $4.95 million in FY2022 (+7.0%).
- The fiscal Q1 2027 figure is the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Non Operating Interest Expenses rose in five of the last seven quarters, with growth averaging 35.0%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 145.2% in fiscal Q1 2027, against a decline of 30.7% in fiscal Q3 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 266.00 Mn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Air T | 80.37 Mn | 744,088.68 | 70.16 Mn | 5.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.67 Mn |
| Dec 31, 2025 | 2.38 Mn |
| Sep 30, 2025 | 2.25 Mn |
| Jun 30, 2025 | 2.31 Mn |
| Mar 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 2.56 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 1.95 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 1.53 Mn |
| Sep 30, 2023 | 1.85 Mn |
| Jun 30, 2023 | 1.81 Mn |
| Mar 31, 2023 | 1.91 Mn |
| Dec 31, 2022 | 2.20 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 1.61 Mn |
| Dec 31, 2021 | 1.24 Mn |
| Sep 30, 2021 | 1.17 Mn |
| Jun 30, 2021 | 939,000.00 |
API Access
Air T Non Operating Interest Expenses 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-operating-interest-expenses&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();