Amalgamated Financial (AMAL) Cash & Equivalents (2019 - 2026)
Amalgamated Financial (AMAL) recorded Cash & Equivalents of $167.78 million in Q2 2026, down 1.9% from $171.07 million a year earlier and down 6.6% from the prior quarter.
Amalgamated Financial (AMAL) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Amalgamated Financial reported Cash & Equivalents of $291.22 million, up 379.4% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 49.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $60.75 million in FY2024 (-32.9%), $90.57 million in FY2023 (+42.5%), $63.54 million in FY2022 (-80.8%) and $330.49 million in FY2021 (+752.4%).
- Quarterly Cash & Equivalents has ranged from $57.99 million in Q2 2024 to $690.25 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 79.9%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 752.4% in Q4 2021, against a decline of 90.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $179.73 million (Q1 2026), $291.22 million (Q4 2025) and $115.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Amalgamated Financial | 1.51 Bn | 755.68 Mn | - | 167.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.78 Mn |
| Mar 31, 2026 | 179.73 Mn |
| Dec 31, 2025 | 291.22 Mn |
| Sep 30, 2025 | 115.54 Mn |
| Jun 30, 2025 | 171.07 Mn |
| Mar 31, 2025 | 65.71 Mn |
| Dec 31, 2024 | 60.75 Mn |
| Sep 30, 2024 | 149.21 Mn |
| Jun 30, 2024 | 57.99 Mn |
| Mar 31, 2024 | 155.20 Mn |
| Dec 31, 2023 | 90.57 Mn |
| Sep 30, 2023 | 140.22 Mn |
| Jun 30, 2023 | 65.72 Mn |
| Mar 31, 2023 | 130.90 Mn |
| Dec 31, 2022 | 63.54 Mn |
| Sep 30, 2022 | 66.22 Mn |
| Jun 30, 2022 | 332.54 Mn |
| Mar 31, 2022 | 374.04 Mn |
| Dec 31, 2021 | 330.49 Mn |
| Sep 30, 2021 | 690.25 Mn |
Amalgamated Financial 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=AMAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=AMAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();