StandardAero (SARO) Exchange Rate Effect (2023 - 2026)
StandardAero (SARO) reported Exchange Rate Effect of -$534,000 for Q2 2026, compared with $833,000 a year earlier.
StandardAero (SARO) Exchange Rate Effect (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, StandardAero's Exchange Rate Effect came in at $543,000, down 59.5% year-over-year; for FY2025, it came in at $2.34 million.
- By year, Exchange Rate Effect came in at -$41,000 in FY2024, -$2.43 million in FY2023 and -$3.85 million in FY2022.
- Five-year quarterly Exchange Rate Effect spans a low of -$925,000 in Q2 2024 and a high of $1.02 million in Q3 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$571,000 (Q1 2026), $931,000 (Q4 2025) and $717,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | -11.00 Mn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 3.00 Mn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | - |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | -60.00 Mn |
| 10 | StandardAero | 6.99 Bn | 6.34 Bn | 268.78 Mn | -534,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -534,000.00 |
| Mar 31, 2026 | -571,000.00 |
| Dec 31, 2025 | 931,000.00 |
| Sep 30, 2025 | 717,000.00 |
| Jun 30, 2025 | 833,000.00 |
| Mar 31, 2025 | -141,000.00 |
| Dec 31, 2024 | -371,000.00 |
| Sep 30, 2024 | 1.02 Mn |
| Jun 30, 2024 | -925,000.00 |
| Mar 31, 2024 | 235,000.00 |
| Dec 31, 2023 | 85,000.00 |
StandardAero 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=SARO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SARO", "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=SARO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();