Cae (CAE) Exchange Rate Effect (2009 - 2026)
Cae (CAE) recorded Exchange Rate Effect of $2.17 million in the quarter ended Jun 30, 2026, compared with -$3.61 million a year earlier and up 35.5% from the prior quarter.
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Analysis
Cae (CAE) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a TTM basis, Cae's Exchange Rate Effect came in at $5.39 million as of Jun 30, 2026, down 42.3% year-over-year; for the year ended Mar 31, 2026, it came in at -$875,047.
- Across earlier years, Exchange Rate Effect came in at $13.81 million in the year ended Mar 31, 2025, -$10.16 million in the year ended Mar 31, 2024, $12.41 million in the year ended Mar 31, 2023 and -$13.18 million in the year ended Mar 31, 2022.
- Quarterly Exchange Rate Effect has ranged from -$6.95 million in the quarter ended Mar 31, 2022 to $6.7 million in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, Exchange Rate Effect rose in three of the last five quarters, with growth averaging 178.8%.
- Peak year-over-year performance for Exchange Rate Effect in the last five years was growth of 594.5% in the quarter ended Mar 31, 2025, against a decline of 85.1% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.6 million (quarter ended Mar 31, 2026), -$1.43 million (quarter ended Dec 31, 2025) and $3.05 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -11.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | -13.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | -60.00 Mn |
| 10 | Cae | 7.81 Bn | 8.34 Bn | 247.89 Mn | 2.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 Mn |
| Mar 31, 2026 | 1.60 Mn |
| Dec 31, 2025 | -1.43 Mn |
| Sep 30, 2025 | 3.05 Mn |
| Jun 30, 2025 | -3.61 Mn |
| Mar 31, 2025 | 6.70 Mn |
| Dec 31, 2024 | 2.36 Mn |
| Sep 30, 2024 | 3.89 Mn |
| Jun 30, 2024 | 2.85 Mn |
| Mar 31, 2024 | 964,747.17 |
| Dec 31, 2023 | 1.91 Mn |
| Sep 30, 2023 | 820,523.52 |
| Jun 30, 2023 | -2.83 Mn |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | 6.70 Mn |
| Sep 30, 2022 | 5.52 Mn |
| Jun 30, 2022 | -1.96 Mn |
| Mar 31, 2022 | -6.95 Mn |
| Dec 31, 2021 | -3.17 Mn |
| Sep 30, 2021 | -1.03 Mn |
API Access
Cae 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=CAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CAE", "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=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();