Cae (CAE) Prepaid Assets (2009 - 2026)
Cae's Prepaid Assets came in at $70.92 million for the quarter ended Jun 30, 2026, up 10.8% from $64.02 million a year earlier and up 26.0% from the prior quarter.
Cae (CAE) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Cae's Prepaid Assets was $56.29 million, up 0.1% from the prior year.
- Prepaid Assets has increased in each of the last five years, with a five-year compound annual growth rate of 7.4% (years ended Mar 2021 to Mar 2026).
- Going back by year, Prepaid Assets was $56.25 million in the year ended Mar 31, 2025 (+11.5%), $50.44 million in the year ended Mar 31, 2024 (+4.0%), $48.52 million in the year ended Mar 31, 2023 (+8.4%) and $44.76 million in the year ended Mar 31, 2022 (+13.5%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Prepaid Assets in data going back to the quarter ended Mar 31, 2009.
- Year-over-year, Prepaid Assets increased in five of the last eight quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Sep 30, 2022 (growth of 31.8%), and the weakest in the quarter ended Sep 30, 2025 (a decline of 13.6%).
- Business Quant data shows CAE's Prepaid Assets at $56.29 million (quarter ended Mar 31, 2026), $58.16 million (quarter ended Dec 31, 2025) and $54.5 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Cae | 8.61 Bn | 9.08 Bn | 230.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.04 Mn |
| Mar 31, 2026 | 55.43 Mn |
| Dec 31, 2025 | 59.22 Mn |
| Sep 30, 2025 | 53.89 Mn |
| Jun 30, 2025 | 64.83 Mn |
| Mar 31, 2025 | 54.65 Mn |
| Dec 31, 2024 | 64.32 Mn |
| Sep 30, 2024 | 63.66 Mn |
| Jun 30, 2024 | 64.75 Mn |
| Mar 31, 2024 | 50.24 Mn |
| Dec 31, 2023 | 52.61 Mn |
| Sep 30, 2023 | 56.19 Mn |
| Jun 30, 2023 | 57.58 Mn |
| Mar 31, 2023 | 47.40 Mn |
| Dec 31, 2022 | 54.90 Mn |
| Sep 30, 2022 | 59.23 Mn |
| Jun 30, 2022 | 55.34 Mn |
| Mar 31, 2022 | 45.42 Mn |
| Dec 31, 2021 | 44.96 Mn |
| Sep 30, 2021 | 46.50 Mn |
Cae Prepaid Assets 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=prepaid-assets&ticker=CAE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=CAE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();