Boeing (BA) Exchange Rate Effect (2009 - 2026)
Boeing's Exchange Rate Effect came in at $1 million for Q2 2026, down 95.5% from $22 million a year earlier and unchanged from the prior quarter.
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Analysis
Boeing (BA) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Boeing reported Exchange Rate Effect of $8 million, down 33.3% year-over-year; for FY2025, it came in at $40 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of -14.0% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$47 million in FY2024, $30 million in FY2023, -$73 million in FY2022 and -$39 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$68 million (Q2 2022) to $61 million (Q4 2022).
- Year-over-year, Exchange Rate Effect increased in 1 of the last four quarters, with growth averaging 90.3%.
- Business Quant data shows BA's Exchange Rate Effect at $1 million (Q1 2026), $1 million (Q4 2025) and $5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | -11.00 Mn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | -13.00 Mn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | - |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | -60.00 Mn |
| 10 | TransDigm | 65.48 Bn | 53.49 Bn | 1.63 Bn | -5.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 22.00 Mn |
| Mar 31, 2025 | 12.00 Mn |
| Dec 31, 2024 | -55.00 Mn |
| Sep 30, 2024 | 33.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | -28.00 Mn |
| Dec 31, 2023 | 52.00 Mn |
| Sep 30, 2023 | -24.00 Mn |
| Jun 30, 2023 | -8.00 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 61.00 Mn |
| Sep 30, 2022 | -63.00 Mn |
| Jun 30, 2022 | -68.00 Mn |
| Mar 31, 2022 | -3.00 Mn |
| Dec 31, 2021 | -5.00 Mn |
| Sep 30, 2021 | -20.00 Mn |
API Access
Boeing Exchange Rate Effect 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=exchange-rate-effect&ticker=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();