Cae (CAE) EV to EBITDA (2009 - 2026)
Cae's (CAE) EV to EBITDA came in at 10.31 for the quarter ended Jun 30, 2026, down 14.4% from 12.04 a year earlier but up 9.8% from the prior quarter.
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Analysis
Cae (CAE) EV to EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Cae was 10.38, down 15.1% year-over-year; for the year ended Mar 31, 2026, it came in at 11.50, up 22.5% from the prior year.
- In prior years, Cae's EV to EBITDA was 9.39 in the year ended Mar 31, 2025 (-80.6%), 48.31 in the year ended Mar 31, 2024 (+316.8%), 11.59 in the year ended Mar 31, 2023 (-54.2%) and 25.30 in the year ended Mar 31, 2022 (-8.6%).
- Quarterly EV to EBITDA has run from a low of 9.33 in the quarter ended Jun 30, 2024 to a high of 28.34 in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, EV to EBITDA increased in four of the last eight quarters, with growth averaging 1.4%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Sep 30, 2021, with growth of 185.6%; the weakest was the quarter ended Mar 31, 2022, with a decline of 65.0%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 9.39 (quarter ended Mar 31, 2026), 12.77 (quarter ended Dec 31, 2025) and 11.61 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 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 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Cae | 7.81 Bn | 8.34 Bn | 247.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.31 |
| Mar 31, 2026 | 9.39 |
| Dec 31, 2025 | 12.77 |
| Sep 30, 2025 | 11.61 |
| Jun 30, 2025 | 12.04 |
| Mar 31, 2025 | 10.37 |
| Dec 31, 2024 | 11.10 |
| Sep 30, 2024 | 9.51 |
| Jun 30, 2024 | 9.33 |
| Mar 31, 2024 | 10.14 |
| Dec 31, 2023 | 11.87 |
| Sep 30, 2023 | 12.99 |
| Jun 30, 2023 | 12.43 |
| Mar 31, 2023 | 13.69 |
| Dec 31, 2022 | 11.54 |
| Sep 30, 2022 | 10.28 |
| Jun 30, 2022 | 17.99 |
| Mar 31, 2022 | 16.84 |
| Dec 31, 2021 | 25.12 |
| Sep 30, 2021 | 28.34 |
API Access
Cae EV to EBITDA 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=ev-to-ebitda&ticker=CAE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();