Air T (AIRT) Inventory (2011 - 2026)
Air T (AIRT) posted Inventory of $90.06 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 125.8% from $39.89 million a year earlier and up 16.8% from the prior quarter.
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Analysis
Air T (AIRT) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T's Inventory came in at $77.13 million, up 100.2% from FY2025.
- Annual Inventory shows a five-year compound annual growth rate of 1.4% (FY2021 to FY2026).
- In prior fiscal years, Air T's Inventory was $38.52 million in FY2025 (-36.6%), $60.72 million in FY2024 (-14.6%), $71.13 million in FY2023 (-5.4%) and $75.17 million in FY2022 (+4.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Inventory in data going back to fiscal Q4 2011.
- On a year-over-year basis, Inventory has increased in each of the last three quarters, with growth averaging 23.1% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q1 2027, with growth of 125.8%; the weakest was fiscal Q2 2024, with a decline of 37.8%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $77.13 million (Q4 2026), $65.41 million (Q3 2026) and $46.63 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Air T | 76.66 Mn | -2.97 Mn | 70.16 Mn | 90.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.06 Mn |
| Mar 31, 2026 | 77.13 Mn |
| Dec 31, 2025 | 65.41 Mn |
| Sep 30, 2025 | 46.63 Mn |
| Jun 30, 2025 | 39.89 Mn |
| Mar 31, 2025 | 38.52 Mn |
| Dec 31, 2024 | 38.54 Mn |
| Sep 30, 2024 | 51.27 Mn |
| Jun 30, 2024 | 57.76 Mn |
| Mar 31, 2024 | 60.72 Mn |
| Dec 31, 2023 | 53.89 Mn |
| Sep 30, 2023 | 54.46 Mn |
| Jun 30, 2023 | 64.41 Mn |
| Mar 31, 2023 | 71.13 Mn |
| Dec 31, 2022 | 86.22 Mn |
| Sep 30, 2022 | 87.60 Mn |
| Jun 30, 2022 | 86.13 Mn |
| Mar 31, 2022 | 75.17 Mn |
| Dec 31, 2021 | 76.45 Mn |
| Sep 30, 2021 | 82.59 Mn |
API Access
Air T Inventory 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=inventory&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();