Amalgamated Financial (AMAL) Return on Sales [ROS] (2019 - 2026)
Amalgamated Financial's Return on Sales [ROS] was 79.02% in Q2 2026, down 3.33 percentage points from 82.35% a year earlier but up 11.36 percentage points from the prior quarter.
Amalgamated Financial (AMAL) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amalgamated Financial's Return on Sales [ROS] was 75.58% through Jun 30, 2026, down 7.42 percentage points year-over-year; for FY2025, it was 80.49%, down 3.29 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +47.67 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 83.78% in FY2024 (+7.57 pp), 76.21% in FY2023 (+28.12 pp), 48.08% in FY2022 (+10.12 pp) and 37.96% in FY2021 (+5.14 pp).
- Quarterly Return on Sales [ROS] has moved between 37.99% (Q1 2022) and 86.15% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for seven straight quarters, with an average year-over-year change of -4.21 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2023 (a gain of 36.12 percentage points); the worst was Q1 2026 (a drop of 16.58 percentage points).
- Per Business Quant data, AMAL's Return on Sales [ROS] in the three quarters before Q2 2026 was 67.66% (Q1 2026), 74.26% (Q4 2025) and 81.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Amalgamated Financial | 1.51 Bn | 755.68 Mn | - | 79.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.02% |
| Mar 31, 2026 | 67.66% |
| Dec 31, 2025 | 74.26% |
| Sep 30, 2025 | 81.57% |
| Jun 30, 2025 | 82.35% |
| Mar 31, 2025 | 84.24% |
| Dec 31, 2024 | 80.31% |
| Sep 30, 2024 | 85.07% |
| Jun 30, 2024 | 83.55% |
| Mar 31, 2024 | 86.15% |
| Dec 31, 2023 | 83.26% |
| Sep 30, 2023 | 83.20% |
| Jun 30, 2023 | 73.87% |
| Mar 31, 2023 | 64.23% |
| Dec 31, 2022 | 59.75% |
| Sep 30, 2022 | 47.08% |
| Jun 30, 2022 | 44.96% |
| Mar 31, 2022 | 37.99% |
| Dec 31, 2021 | 38.10% |
| Sep 30, 2021 | 41.41% |
Amalgamated Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AMAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AMAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();