Boeing (BA) Asset Writedowns and Impairment (2009 - 2026)
Boeing (BA) reported Asset Writedowns and Impairment of $9 million for Q2 2026, down 60.9% from $23 million a year earlier and unchanged from the prior quarter.
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Analysis
Boeing (BA) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Boeing's Asset Writedowns and Impairment came in at $33 million, down 69.4% year-over-year; for FY2025, it came in at $45 million, down 59.8% from FY2024.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of -35.7% (FY2020 to FY2025).
- By year, Asset Writedowns and Impairment came in at $112 million in FY2024 (+143.5%), $46 million in FY2023 (-58.9%), $112 million in FY2022 (+14.3%) and $98 million in FY2021 (-76.1%).
- Five-year quarterly Asset Writedowns and Impairment spans a low of $1 million in Q2 2023 and a high of $72 million in Q1 2022.
- Year over year, Asset Writedowns and Impairment gained in three of the last seven quarters, with an average decline of 14.2%.
- The high point for year-over-year Asset Writedowns and Impairment in five years was Q1 2022 (growth of 350.0%); the low point was Q3 2025 (a decline of 85.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9 million (Q1 2026), $13 million (Q4 2025) and $2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn |
| 10 | TransDigm | 63.64 Bn | 51.65 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2025 | 13.00 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 7.00 Mn |
| Dec 31, 2024 | 64.00 Mn |
| Sep 30, 2024 | 14.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 21.00 Mn |
| Dec 31, 2023 | 34.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 11.00 Mn |
| Dec 31, 2022 | 34.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 72.00 Mn |
| Dec 31, 2021 | 26.00 Mn |
| Sep 30, 2021 | 34.00 Mn |
| Jun 30, 2021 | 22.00 Mn |
| Mar 31, 2021 | 16.00 Mn |
API Access
Boeing 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=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "BA", "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=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();