Cae (CAE) Change in Working Capital (2009 - 2026)
Cae (CAE) posted Change in Working Capital of $13.74 million for the quarter ended Jun 30, 2026, compared with -$147.59 million a year earlier.
Cae (CAE) Change in Working Capital (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Working Capital at Cae was $120.6 million, up 0.6% year-over-year; for the year ended Mar 31, 2026, it was -$27.49 million.
- In prior years, Cae's Change in Working Capital was $141.79 million in the year ended Mar 31, 2025 (+49.2%), $95.02 million in the year ended Mar 31, 2024, -$86.67 million in the year ended Mar 31, 2023 and $17.76 million in the year ended Mar 31, 2022.
- Quarterly Change in Working Capital has run from a low of -$180.63 million in the quarter ended Jun 30, 2022 to a high of $166.92 million in the quarter ended Dec 31, 2021 over five years.
- On a year-over-year basis, Change in Working Capital increased in 1 of the last five quarters, with growth averaging 137.6%.
- The strongest year-over-year quarter for Change in Working Capital in the past five years was the quarter ended Dec 31, 2024, with growth of 798.7%; the weakest was the quarter ended Mar 31, 2023, with a decline of 77.4%.
- According to Business Quant data, Change in Working Capital for the three prior quarters was -$46 million (quarter ended Mar 31, 2026), $132.59 million (quarter ended Dec 31, 2025) and $20.27 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Working Cap. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | - |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | - |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | - |
| 10 | Cae | 7.72 Bn | 8.25 Bn | 247.89 Mn | 13.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.74 Mn |
| Mar 31, 2026 | -46.00 Mn |
| Dec 31, 2025 | 132.59 Mn |
| Sep 30, 2025 | 20.27 Mn |
| Jun 30, 2025 | -147.59 Mn |
| Mar 31, 2025 | 88.90 Mn |
| Dec 31, 2024 | 145.89 Mn |
| Sep 30, 2024 | 32.62 Mn |
| Jun 30, 2024 | -102.43 Mn |
| Mar 31, 2024 | 125.05 Mn |
| Dec 31, 2023 | 16.23 Mn |
| Sep 30, 2023 | 50.05 Mn |
| Jun 30, 2023 | -133.78 Mn |
| Mar 31, 2023 | 22.10 Mn |
| Dec 31, 2022 | 69.03 Mn |
| Jun 30, 2022 | -180.63 Mn |
| Mar 31, 2022 | 97.58 Mn |
| Dec 31, 2021 | 166.92 Mn |
| Sep 30, 2021 | -37.58 Mn |
| Jun 30, 2021 | -214.93 Mn |
Cae Change in Working Capital 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=change-in-working-capital&ticker=CAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-working-capital", "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=change-in-working-capital&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();