BROOKFIELD Corp /ON/ (BAMGF) Cash & Equivalents (2009 - 2026)
Brookfield (BAMGF) recorded Cash & Equivalents of $760 million in Q2 2026, up 64.9% from $461 million a year earlier but down 94.9% from the prior quarter.
BROOKFIELD Corp /ON/ (BAMGF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2024, Brookfield reported Cash & Equivalents of $15.05 billion, up 34.1% from FY2023.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 17.3% (FY2019 to FY2024).
- Across earlier years, Cash & Equivalents came in at $11.22 billion in FY2023, $14.4 billion in FY2022, $1.2 billion in FY2021 and $9.93 billion in FY2020 (+46.5%).
- Quarterly Cash & Equivalents has ranged from $134 million in Q2 2023 to $16.68 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in six of the last seven quarters, with growth averaging 18.1%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 511.9% in Q2 2024, against a decline of 43.8% in Q2 2025 at the low end.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.89 Bn |
| Dec 31, 2025 | 16.24 Bn |
| Sep 30, 2025 | 16.68 Bn |
| Jun 30, 2025 | 13.70 Bn |
| Mar 31, 2025 | 12.44 Bn |
| Dec 31, 2024 | 15.05 Bn |
| Sep 30, 2024 | 15.05 Bn |
| Jun 30, 2024 | 11.25 Bn |
| Mar 31, 2024 | 11.74 Bn |
| Dec 31, 2023 | 11.22 Bn |
| Sep 30, 2023 | 11.22 Bn |
| Jun 30, 2023 | 12.43 Bn |
| Mar 31, 2023 | 13.05 Bn |
| Dec 31, 2022 | 14.40 Bn |
| Sep 30, 2022 | 14.40 Bn |
| Jun 30, 2022 | 12.21 Bn |
| Mar 31, 2022 | 11.82 Bn |
| Dec 31, 2021 | 12.69 Bn |
| Jun 30, 2021 | 10.46 Bn |
| Mar 31, 2021 | 9.83 Bn |
BROOKFIELD Corp /ON/ Cash & Equivalents 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=cash-and-equivalents&ticker=BAMGF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BAMGF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=BAMGF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();