Amalgamated Financial (AMAL) Cash from Operations (2020 - 2026)
Amalgamated Financial (AMAL) posted Cash from Operations of $30.48 million for Q2 2026, up 22.3% from $24.93 million a year earlier but down 46.3% from the prior quarter.
Amalgamated Financial (AMAL) Cash from Operations (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Amalgamated Financial was $163.9 million, up 32.3% year-over-year; for FY2025, it came in at $135.78 million, up 9.4% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In prior years, Amalgamated Financial's Cash from Operations was $124.07 million in FY2024 (+5.8%), $117.22 million in FY2023 (-20.4%), $147.32 million in FY2022 (+108.9%) and $70.54 million in FY2021 (+7.2%).
- Quarterly Cash from Operations has run from a low of $15.32 million in Q4 2023 to a high of $56.78 million in Q1 2026 over five years.
- On a year-over-year basis, Cash from Operations has increased in each of the last four quarters, with growth averaging 25.5% over the last eight quarters.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2022, with growth of 305.9%; the weakest was Q4 2023, with a decline of 71.1%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $56.78 million (Q1 2026), $37.14 million (Q4 2025) and $39.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | -25.28 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 29.04 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | -2.75 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 25.17 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.11 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 6.78 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | -4.20 Bn |
| 10 | Amalgamated Financial | 1.51 Bn | 755.68 Mn | - | 30.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.48 Mn |
| Mar 31, 2026 | 56.78 Mn |
| Dec 31, 2025 | 37.14 Mn |
| Sep 30, 2025 | 39.50 Mn |
| Jun 30, 2025 | 24.93 Mn |
| Mar 31, 2025 | 34.21 Mn |
| Dec 31, 2024 | 29.01 Mn |
| Sep 30, 2024 | 35.78 Mn |
| Jun 30, 2024 | 28.02 Mn |
| Mar 31, 2024 | 31.26 Mn |
| Dec 31, 2023 | 15.32 Mn |
| Sep 30, 2023 | 39.79 Mn |
| Jun 30, 2023 | 27.26 Mn |
| Mar 31, 2023 | 34.85 Mn |
| Dec 31, 2022 | 53.07 Mn |
| Sep 30, 2022 | 26.16 Mn |
| Jun 30, 2022 | 51.04 Mn |
| Mar 31, 2022 | 17.06 Mn |
| Dec 31, 2021 | 17.14 Mn |
| Sep 30, 2021 | 28.68 Mn |
Amalgamated Financial Cash from Operations 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-from-operations&ticker=AMAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "AMAL", "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-from-operations&ticker=AMAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();