Boeing (BA) Change in Accured Expenses (2009 - 2026)
Boeing (BA) recorded Change in Accured Expenses of $190 million in Q2 2026, up 37.7% from $138 million a year earlier.
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Analysis
Boeing (BA) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Boeing's Change in Accured Expenses came in at $519 million as of Jun 30, 2026, down 70.5% year-over-year; for FY2025, it came in at $1.34 billion, down 14.2% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Change in Accured 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 Accured 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 Accured 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 -$1.26 billion (Q1 2026), $767 million (Q4 2025) and $822 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 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 | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 301.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -555.00 Mn |
API Access
Boeing Change in Accured 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_KEYimport 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();