Air T (AIRT) Total Current Liabilities (2011 - 2026)
Air T (AIRT) reported Total Current Liabilities of $110.69 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 125.7% from $49.05 million a year earlier and up 15.9% from the prior quarter.
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Analysis
Air T (AIRT) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T posted Total Current Liabilities of $95.52 million, up 100.4% from FY2025.
- Total Current Liabilities has a five-year compound annual growth rate of 27.7% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $47.66 million in FY2025 (+1.8%), $46.84 million in FY2024 (-27.1%), $64.29 million in FY2023 (+108.0%) and $30.91 million in FY2022 (+9.7%).
- Five-year quarterly Total Current Liabilities spans a low of $21.21 million in fiscal Q3 2022 and a high of $167.68 million in fiscal Q3 2026.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 60.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q3 2026 (growth of 254.3%); the low point was fiscal Q2 2022 (a decline of 67.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $95.52 million (Q4 2026), $167.68 million (Q3 2026) and $46.45 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 23.19 Bn |
| 10 | Air T | 76.20 Mn | -3.43 Mn | 70.16 Mn | 110.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.69 Mn |
| Mar 31, 2026 | 95.52 Mn |
| Dec 31, 2025 | 167.68 Mn |
| Sep 30, 2025 | 46.45 Mn |
| Jun 30, 2025 | 49.05 Mn |
| Mar 31, 2025 | 47.66 Mn |
| Dec 31, 2024 | 47.33 Mn |
| Sep 30, 2024 | 45.11 Mn |
| Jun 30, 2024 | 46.85 Mn |
| Mar 31, 2024 | 46.84 Mn |
| Dec 31, 2023 | 44.80 Mn |
| Sep 30, 2023 | 50.76 Mn |
| Jun 30, 2023 | 49.78 Mn |
| Mar 31, 2023 | 64.29 Mn |
| Dec 31, 2022 | 67.95 Mn |
| Sep 30, 2022 | 73.17 Mn |
| Jun 30, 2022 | 29.41 Mn |
| Mar 31, 2022 | 30.91 Mn |
| Dec 31, 2021 | 21.21 Mn |
| Sep 30, 2021 | 22.22 Mn |
API Access
Air T Total 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-current-liabilities&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();