Boeing (BA) Other Accumulated Expenses (2009 - 2026)
Boeing (BA) reported Other Accumulated Expenses of $4.39 billion for Q4 2011, up 7.8% from $4.07 billion a year earlier.
Powered by 
Analysis
Boeing (BA) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
- By year, Other Accumulated Expenses came in at $4.07 billion in FY2010 and -$438 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn |
| 10 | Honeywell International | 70.61 Bn | 30.36 Bn | 2.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 136.00 |
| Jun 30, 2026 | 162.00 |
| Mar 31, 2026 | 163.00 |
| Dec 31, 2025 | 166.00 |
| Dec 31, 2024 | 5.00 Mn |
| Jun 30, 2024 | -17.00 |
| Mar 31, 2024 | -17.00 |
| Dec 31, 2023 | 9.00 Mn |
| Sep 30, 2023 | -2.00 |
| Dec 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Dec 31, 2019 | 391.00 Mn |
| Dec 31, 2018 | 398.00 Mn |
| Dec 31, 2017 | -397.00 Mn |
| Sep 30, 2017 | 15.00 |
| Jun 30, 2017 | 29.00 |
| Mar 31, 2017 | 48.00 |
| Dec 31, 2016 | -381.00 Mn |
| Sep 30, 2016 | 52.00 |
| Jun 30, 2016 | 47.00 |
API Access
Boeing Other Accumulated Expenses 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=other-accumulated-expenses&ticker=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();