Boeing (BA) Accumulated Expenses (2009 - 2026)
Boeing (BA) recorded Accumulated Expenses of $26.59 billion in Q2 2026, up 13.1% from $23.51 billion a year earlier and up 0.8% from the prior quarter.
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Analysis
Boeing (BA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Boeing reported Accumulated Expenses of $27.14 billion, up 12.6% from FY2024.
- Annual Accumulated Expenses has increased for four straight years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $24.1 billion in FY2024 (+7.9%), $22.33 billion in FY2023 (+3.5%), $21.58 billion in FY2022 (+16.9%) and $18.46 billion in FY2021 (-16.8%).
- Quarterly Accumulated Expenses has ranged from $17.75 billion in Q2 2022 to $27.14 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 11 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 19.5% in Q2 2023, against a decline of 16.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.39 billion (Q1 2026), $27.14 billion (Q4 2025) and $24.36 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 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 |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.59 Bn |
| Mar 31, 2026 | 26.39 Bn |
| Dec 31, 2025 | 27.14 Bn |
| Sep 30, 2025 | 24.36 Bn |
| Jun 30, 2025 | 23.51 Bn |
| Mar 31, 2025 | 23.58 Bn |
| Dec 31, 2024 | 24.10 Bn |
| Sep 30, 2024 | 22.63 Bn |
| Jun 30, 2024 | 21.85 Bn |
| Mar 31, 2024 | 21.61 Bn |
| Dec 31, 2023 | 22.33 Bn |
| Sep 30, 2023 | 21.10 Bn |
| Jun 30, 2023 | 21.22 Bn |
| Mar 31, 2023 | 20.81 Bn |
| Dec 31, 2022 | 21.58 Bn |
| Sep 30, 2022 | 21.22 Bn |
| Jun 30, 2022 | 17.75 Bn |
| Mar 31, 2022 | 17.86 Bn |
| Dec 31, 2021 | 18.46 Bn |
| Sep 30, 2021 | 18.97 Bn |
API Access
Boeing 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=accumulated-expenses&ticker=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();