Air T (AIRT) Payables (2011 - 2026)
Air T (AIRT) posted Payables of $41.02 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 128.7% from $17.93 million a year earlier and up 10.9% from the prior quarter.
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Analysis
Air T (AIRT) Payables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T's Payables came in at $36.97 million, up 107.9% from FY2025.
- Annual Payables has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 23.7% (FY2021 to FY2026).
- In prior fiscal years, Air T's Payables was $17.78 million in FY2025 (+18.0%), $15.07 million in FY2024 (+44.2%), $10.45 million in FY2023 (+11.2%) and $9.4 million in FY2022 (-26.5%).
- The fiscal Q1 2027 figure stands as the highest quarterly Payables in data going back to fiscal Q4 2011.
- On a year-over-year basis, Payables has increased in each of the last six quarters, with growth averaging 42.6% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q1 2027, with growth of 128.7%; the weakest was fiscal Q4 2022, with a decline of 26.5%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $36.97 million (Q4 2026), $16 million (Q3 2026) and $15.77 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.33 Bn | 301.85 Bn | 5.02 Bn | 10.98 Bn |
| 2 | Rtx | 263.31 Bn | 231.58 Bn | 5.81 Bn | 18.01 Bn |
| 3 | Boeing | 138.56 Bn | 47.52 Bn | 2.17 Bn | 15.29 Bn |
| 4 | Lockheed Martin | 134.21 Bn | 118.45 Bn | 2.44 Bn | 5.01 Bn |
| 5 | General Dynamics | 97.50 Bn | 82.74 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Motorola Solutions | 86.68 Bn | 83.15 Bn | 1.77 Bn | 1.80 Bn |
| 7 | Howmet Aerospace | 85.32 Bn | 81.08 Bn | 1.00 Bn | 1.36 Bn |
| 8 | Northrop Grumman | 76.52 Bn | 63.97 Bn | 2.35 Bn | 3.28 Bn |
| 9 | Honeywell International | 72.51 Bn | 32.02 Bn | 2.02 Bn | 6.02 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 41.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.02 Mn |
| Mar 31, 2026 | 36.97 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 30, 2025 | 15.77 Mn |
| Jun 30, 2025 | 17.93 Mn |
| Mar 31, 2025 | 17.78 Mn |
| Dec 31, 2024 | 10.23 Mn |
| Sep 30, 2024 | 15.53 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | 15.07 Mn |
| Dec 31, 2023 | 13.54 Mn |
| Sep 30, 2023 | 12.44 Mn |
| Jun 30, 2023 | 10.58 Mn |
| Mar 31, 2023 | 10.45 Mn |
| Dec 31, 2022 | 9.29 Mn |
| Sep 30, 2022 | 13.25 Mn |
| Jun 30, 2022 | 11.04 Mn |
| Mar 31, 2022 | 9.40 Mn |
| Dec 31, 2021 | 8.96 Mn |
| Sep 30, 2021 | 11.05 Mn |
API Access
Air T Payables 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=payables&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();