Boeing (BA) Cost of Revenue (2009 - 2026)
Boeing (BA) posted Cost of Revenue of $22.15 billion for Q2 2026, up 9.0% from $20.31 billion a year earlier and up 12.6% from the prior quarter.
Boeing (BA) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Boeing was $89.6 billion, up 18.6% year-over-year; for FY2025, it came in at $85.17 billion, up 24.3% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Boeing's Cost of Revenue was $68.51 billion in FY2024 (-2.2%), $70.07 billion in FY2023 (+11.1%), $63.08 billion in FY2022 (+6.5%) and $59.24 billion in FY2021 (-7.2%).
- Quarterly Cost of Revenue has run from a low of $13.57 billion in Q3 2021 to a high of $25.65 billion in Q3 2025 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last six quarters, with growth averaging 16.9% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2025, with growth of 31.5%; the weakest was Q4 2021, with a decline of 17.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $19.67 billion (Q1 2026), $22.14 billion (Q4 2025) and $25.65 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 6.07 Bn |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 1.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.15 Bn |
| Mar 31, 2026 | 19.67 Bn |
| Dec 31, 2025 | 22.14 Bn |
| Sep 30, 2025 | 25.65 Bn |
| Jun 30, 2025 | 20.31 Bn |
| Mar 31, 2025 | 17.08 Bn |
| Dec 31, 2024 | 16.83 Bn |
| Sep 30, 2024 | 21.35 Bn |
| Jun 30, 2024 | 15.64 Bn |
| Mar 31, 2024 | 14.69 Bn |
| Dec 31, 2023 | 19.32 Bn |
| Sep 30, 2023 | 16.94 Bn |
| Jun 30, 2023 | 17.81 Bn |
| Mar 31, 2023 | 16.00 Bn |
| Dec 31, 2022 | 18.12 Bn |
| Sep 30, 2022 | 16.77 Bn |
| Jun 30, 2022 | 14.55 Bn |
| Mar 31, 2022 | 13.64 Bn |
| Dec 31, 2021 | 17.28 Bn |
| Sep 30, 2021 | 13.57 Bn |
Boeing Cost of Revenue 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=cost-of-revenue&ticker=BA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();