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).
Powered by 
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 | 344.32 Bn | 302.84 Bn | 5.02 Bn |
| 2 | Rtx | 264.74 Bn | 233.01 Bn | 5.81 Bn |
| 3 | Boeing | 138.76 Bn | 47.72 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 135.58 Bn | 119.82 Bn | 2.44 Bn |
| 5 | General Dynamics | 97.92 Bn | 83.15 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 86.49 Bn | 82.95 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 86.21 Bn | 81.96 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 77.20 Bn | 64.66 Bn | 2.35 Bn |
| 9 | Honeywell International | 72.22 Bn | 31.73 Bn | 2.02 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 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();