Boeing (BA) Change in Accrued Expenses (2009 - 2026)
Boeing (BA) recorded Change in Accrued Expenses of -$492 million in Q3 2026, compared with $822 million a year earlier.
Boeing (BA) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Boeing's Change in Accrued Expenses came in at -$795 million as of Sep 30, 2026; for FY2025, it came in at $1.34 billion, down 14.2% from FY2024.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at $1.56 billion in FY2024 (+100.6%), $779 million in FY2023 (-73.6%), $2.96 billion in FY2022 and -$3.69 billion in FY2021.
- Quarterly Change in Accrued Expenses has ranged from -$1.26 billion in Q1 2026 to $3.25 billion in Q3 2022 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in two of the last five quarters, with an average decline of 8.1%.
- Per Business Quant, the preceding three quarters came in at $190 million (Q2 2026), -$1.26 billion (Q1 2026) and $767 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,657.49 Bn | 1,419.20 Bn | 9.10 Bn | - |
| 2 | General Electric | 341.86 Bn | 300.61 Bn | 5.02 Bn | - |
| 3 | Rtx | 267.69 Bn | 237.67 Bn | 5.81 Bn | 1.81 Bn |
| 4 | Lockheed Martin | 137.00 Bn | 121.23 Bn | 2.44 Bn | - |
| 5 | Boeing | 134.86 Bn | 43.82 Bn | 2.17 Bn | -492.00 Mn |
| 6 | General Dynamics | 97.91 Bn | 83.14 Bn | 2.25 Bn | - |
| 7 | Motorola Solutions | 87.85 Bn | 84.32 Bn | 1.77 Bn | 47.00 Mn |
| 8 | Howmet Aerospace | 87.43 Bn | 83.18 Bn | 1.00 Bn | 138.00 Mn |
| 9 | Northrop Grumman | 78.02 Bn | 65.48 Bn | 2.35 Bn | -32.00 Mn |
| 10 | Honeywell International | 70.02 Bn | 29.53 Bn | 2.02 Bn | 497.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -492.00 Mn |
| Jun 30, 2026 | 190.00 Mn |
| Mar 31, 2026 | -1.26 Bn |
| Dec 31, 2025 | 767.00 Mn |
| Sep 30, 2025 | 822.00 Mn |
| Jun 30, 2025 | 138.00 Mn |
| Mar 31, 2025 | -386.00 Mn |
| Dec 31, 2024 | 1.24 Bn |
| Sep 30, 2024 | 770.00 Mn |
| Jun 30, 2024 | 223.00 Mn |
| Mar 31, 2024 | -666.00 Mn |
| Dec 31, 2023 | 1.35 Bn |
| Sep 30, 2023 | -175.00 Mn |
| Jun 30, 2023 | 370.00 Mn |
| Mar 31, 2023 | -769.00 Mn |
| Dec 31, 2022 | 540.00 Mn |
| Sep 30, 2022 | 3.25 Bn |
| Jun 30, 2022 | -241.00 Mn |
| Mar 31, 2022 | -594.00 Mn |
| Dec 31, 2021 | -519.00 Mn |
Boeing Change in Accrued 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=change-in-accured-expenses&ticker=BA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();