Air T (AIRT) Receivables (2011 - 2026)
Air T's Receivables was $33.3 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 35.2% from $24.63 million a year earlier but down 16.5% from the prior quarter.
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Analysis
Air T (AIRT) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Receivables at Air T came in at $39.89 million, up 66.8% from FY2025.
- Receivables shows a five-year compound annual growth rate of 43.7% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $23.92 million in FY2025 (+4.4%), $22.91 million in FY2024 (-18.6%), $28.16 million in FY2023 (-2.3%) and $28.82 million in FY2022 (+343.1%).
- Quarterly Receivables has moved between $10.55 million (fiscal Q3 2022) and $43.18 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Receivables has increased for three straight quarters, with growth averaging 25.2% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q4 2022 (growth of 343.1%); the worst was fiscal Q3 2022 (a decline of 45.8%).
- Per Business Quant data, AIRT's Receivables in the three fiscal quarters before Q1 2027 was $39.89 million (Q4 2026), $43.18 million (Q3 2026) and $18.64 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.33 Bn | 301.85 Bn | 5.02 Bn | 17.55 Bn |
| 2 | Rtx | 263.31 Bn | 231.58 Bn | 5.81 Bn | 33.38 Bn |
| 3 | Boeing | 138.56 Bn | 47.52 Bn | 2.17 Bn | 14.25 Bn |
| 4 | Lockheed Martin | 134.21 Bn | 118.45 Bn | 2.44 Bn | 20.00 Bn |
| 5 | General Dynamics | 97.50 Bn | 82.74 Bn | 2.25 Bn | 49.69 Bn |
| 6 | Motorola Solutions | 86.68 Bn | 83.15 Bn | 1.77 Bn | 3.98 Bn |
| 7 | Howmet Aerospace | 85.32 Bn | 81.08 Bn | 1.00 Bn | 1.12 Bn |
| 8 | Northrop Grumman | 76.52 Bn | 63.97 Bn | 2.35 Bn | 9.98 Bn |
| 9 | Honeywell International | 72.51 Bn | 32.02 Bn | 2.02 Bn | 6.53 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 33.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.30 Mn |
| Mar 31, 2026 | 39.89 Mn |
| Dec 31, 2025 | 43.18 Mn |
| Sep 30, 2025 | 18.64 Mn |
| Jun 30, 2025 | 24.63 Mn |
| Mar 31, 2025 | 23.92 Mn |
| Dec 31, 2024 | 24.58 Mn |
| Sep 30, 2024 | 30.77 Mn |
| Jun 30, 2024 | 22.83 Mn |
| Mar 31, 2024 | 22.91 Mn |
| Dec 31, 2023 | 18.14 Mn |
| Sep 30, 2023 | 26.59 Mn |
| Jun 30, 2023 | 32.00 Mn |
| Mar 31, 2023 | 28.16 Mn |
| Dec 31, 2022 | 21.68 Mn |
| Sep 30, 2022 | 30.26 Mn |
| Jun 30, 2022 | 23.70 Mn |
| Mar 31, 2022 | 28.82 Mn |
| Dec 31, 2021 | 10.55 Mn |
| Sep 30, 2021 | 16.82 Mn |
API Access
Air T Receivables 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=receivables&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();