Air T (AIRT) Asset Writedowns and Impairment (2016 - 2022)
Air T's Asset Writedowns and Impairment came in at $1.5 million for FY2025 (year ended Mar 31, 2025).
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Analysis
Air T (AIRT) Asset Writedowns and Impairment (2016 - 2022) Analysis & Trends
Going back to FY2017, Air T's Asset Writedowns and Impairment data covers 8 fiscal years.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Asset Writedowns and Impairment since FY2021.
- Per Business Quant, earlier fiscal years put Asset Writedowns and Impairment at $516,000 in FY2023, $37,000 in FY2022 (-99.4%) and $6.41 million in FY2021 (+177.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Air T | 80.21 Mn | 582,585.15 | 70.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 485,000.00 |
| Mar 31, 2021 | 6.41 Mn |
| Dec 31, 2019 | 1.10 Mn |
| Sep 30, 2019 | 395,000.00 |
| Jun 30, 2019 | 815,000.00 |
| Dec 31, 2018 | 7,125.00 |
| Dec 31, 2017 | 46,930.00 |
| Jun 30, 2017 | 771,173.00 |
| Mar 31, 2017 | 1.25 Mn |
| Jun 30, 2016 | 1.50 Mn |
API Access
Air T Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();