Cae (CAE) Receivables (2009 - 2026)
Cae (CAE) posted Receivables of $716.92 million for the quarter ended Jun 30, 2026, down 3.5% from $743.08 million a year earlier and down 11.4% from the prior quarter.
Cae (CAE) Receivables (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Cae's Receivables came in at $825.46 million, up 2.9% from the prior year.
- Annual Receivables shows a five-year compound annual growth rate of 2.1% (years ended Mar 2021 to Mar 2026).
- In prior years, Cae's Receivables was $802.44 million in the year ended Mar 31, 2025 (-8.6%), $877.5 million in the year ended Mar 31, 2024 (-13.2%), $1.01 billion in the year ended Mar 31, 2023 (+7.3%) and $941.92 million in the year ended Mar 31, 2022 (+26.9%).
- Quarterly Receivables has run from a low of $711.85 million in the quarter ended Dec 31, 2025 to a high of $996.19 million in the quarter ended Jun 30, 2022 over five years.
- On a year-over-year basis, Receivables increased in 1 of the last eight quarters, with an average decline of 7.4%.
- The strongest year-over-year quarter for Receivables in the past five years was the quarter ended Mar 31, 2022, with growth of 21.6%; the weakest was the quarter ended Sep 30, 2024, with a decline of 14.8%.
- According to Business Quant data, Receivables for the three prior quarters was $809.13 million (quarter ended Mar 31, 2026), $711.85 million (quarter ended Dec 31, 2025) and $804.68 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Cae | 7.81 Bn | 8.34 Bn | 247.89 Mn | 716.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 716.92 Mn |
| Mar 31, 2026 | 809.13 Mn |
| Dec 31, 2025 | 711.85 Mn |
| Sep 30, 2025 | 804.68 Mn |
| Jun 30, 2025 | 743.08 Mn |
| Mar 31, 2025 | 777.41 Mn |
| Dec 31, 2024 | 780.92 Mn |
| Sep 30, 2024 | 830.62 Mn |
| Jun 30, 2024 | 823.04 Mn |
| Mar 31, 2024 | 877.92 Mn |
| Dec 31, 2023 | 887.03 Mn |
| Sep 30, 2023 | 975.38 Mn |
| Jun 30, 2023 | 962.73 Mn |
| Mar 31, 2023 | 987.49 Mn |
| Dec 31, 2022 | 917.34 Mn |
| Sep 30, 2022 | 952.22 Mn |
| Jun 30, 2022 | 996.19 Mn |
| Mar 31, 2022 | 941.92 Mn |
| Dec 31, 2021 | 841.65 Mn |
| Sep 30, 2021 | 911.98 Mn |
Cae Receivables 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=receivables&ticker=CAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();