Cae (CAE) Tax Provisions (2009 - 2026)
Cae (CAE) posted Tax Provisions of $6.29 million for the quarter ended Jun 30, 2026, down 54.1% from $13.71 million a year earlier and down 54.6% from the prior quarter.
Cae (CAE) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Cae was $90.63 million, up 74.2% year-over-year; for the year ended Mar 31, 2026, it was $56.51 million, down 20.4% from the prior year.
- In prior years, Cae's Tax Provisions was $71 million in the year ended Mar 31, 2025, -$54 million in the year ended Mar 31, 2024, $47.38 million in the year ended Mar 31, 2023 (+163.2%) and $18 million in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Tax Provisions since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Tax Provisions increased in five of the last seven quarters, with growth averaging 119.5%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was the quarter ended Dec 31, 2024, with growth of 313.6%; the weakest was the quarter ended Jun 30, 2026, with a decline of 54.1%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $13.85 million (quarter ended Mar 31, 2026), $45.2 million (quarter ended Dec 31, 2025) and $25.29 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.58 Bn |
| 10 | Cae | 7.80 Bn | 8.33 Bn | 247.89 Mn | 6.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.29 Mn |
| Mar 31, 2026 | 13.85 Mn |
| Dec 31, 2025 | 45.20 Mn |
| Sep 30, 2025 | 25.29 Mn |
| Jun 30, 2025 | 13.71 Mn |
| Mar 31, 2025 | 5.78 Mn |
| Dec 31, 2024 | 24.91 Mn |
| Sep 30, 2024 | 7.62 Mn |
| Jun 30, 2024 | 6.07 Mn |
| Mar 31, 2024 | 5.86 Mn |
| Dec 31, 2023 | 6.02 Mn |
| Sep 30, 2023 | -6.19 Mn |
| Jun 30, 2023 | 5.88 Mn |
| Mar 31, 2023 | -369,848.18 |
| Dec 31, 2022 | 2.73 Mn |
| Sep 30, 2022 | 11.12 Mn |
| Jun 30, 2022 | -392,170.33 |
| Mar 31, 2022 | 14.21 Mn |
| Dec 31, 2021 | 2.06 Mn |
| Sep 30, 2021 | -10.33 Mn |
Cae Tax Provisions 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=tax-provisions&ticker=CAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();