Boeing (BA) Operating Expenses (2009 - 2026)
Boeing's Operating Expenses came in at $2.35 billion for Q2 2026, down 13.1% from $2.7 billion a year earlier but up 11.9% from the prior quarter.
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Analysis
Boeing (BA) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Boeing reported Operating Expenses of $9.5 billion, up 4.0% year-over-year; for FY2025, it was $9.71 billion, up 9.9% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $8.83 billion in FY2024 (+3.4%), $8.55 billion in FY2023 (+21.4%), $7.04 billion in FY2022 (+9.9%) and $6.41 billion in FY2021 (-12.2%).
- The five-year range for quarterly Operating Expenses is $1.37 billion (Q2 2022) to $2.7 billion (Q2 2025).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 4.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 52.5%), and the weakest in Q4 2021 (a decline of 31.5%).
- Business Quant data shows BA's Operating Expenses at $2.1 billion (Q1 2026), $2.63 billion (Q4 2025) and $2.42 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn | 332.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.35 Bn |
| Mar 31, 2026 | 2.10 Bn |
| Dec 31, 2025 | 2.63 Bn |
| Sep 30, 2025 | 2.42 Bn |
| Jun 30, 2025 | 2.70 Bn |
| Mar 31, 2025 | 1.96 Bn |
| Dec 31, 2024 | 2.23 Bn |
| Sep 30, 2024 | 2.24 Bn |
| Jun 30, 2024 | 2.33 Bn |
| Mar 31, 2024 | 2.03 Bn |
| Dec 31, 2023 | 2.42 Bn |
| Sep 30, 2023 | 2.00 Bn |
| Jun 30, 2023 | 2.08 Bn |
| Mar 31, 2023 | 2.05 Bn |
| Dec 31, 2022 | 2.22 Bn |
| Sep 30, 2022 | 1.95 Bn |
| Jun 30, 2022 | 1.37 Bn |
| Mar 31, 2022 | 1.50 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 1.67 Bn |
API Access
Boeing Operating 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=operating-expenses&ticker=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();