American National (ANG-PD) Return on Sales [ROS] (2010 - 2026)
American National's Return on Sales [ROS] was 2.11% in Q2 2026, up 24.18 percentage points from -22.07% a year earlier.
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Analysis
American National (ANG-PD) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, American National's Return on Sales [ROS] was -5.81% through Jun 30, 2026, up 35.20 percentage points year-over-year; for FY2025, it came in at -24.26%, up 24.66 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -58.96 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -48.92% in FY2024 (-7.59 pp), -41.33% in FY2023 (-7.92 pp), -33.40% in FY2022 (-53.14 pp) and 19.74% in FY2021 (-14.97 pp).
- Quarterly Return on Sales [ROS] has moved between -123.82% (Q4 2022) and 806.79% (Q2 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last seven quarters, with an average year-over-year change of +21.52 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2022 (a gain of 812.75 percentage points); the worst was Q2 2023 (a drop of 865.26 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,168.75 Bn | -248.72 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 136.94 Bn | 89.00 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 132.57 Bn | 108.40 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 93.82 Bn | 86.22 Bn | - | 17.70% |
| 5 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 75.37 Bn | -18.34 Bn | - | 11.89% |
| 7 | Arthur J. Gallagher | 68.71 Bn | 63.14 Bn | - | 14.54% |
| 8 | Aon | 64.39 Bn | 57.63 Bn | - | 21.55% |
| 9 | Allstate | 64.30 Bn | 25.55 Bn | 8.73 Bn | -30.76% |
| 10 | American National | 1.86 Bn | -48.35 Bn | 1.46 Bn | 2.11% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11% |
| Dec 31, 2025 | 17.26% |
| Sep 30, 2025 | -9.23% |
| Jun 30, 2025 | -22.07% |
| Mar 31, 2025 | -49.00% |
| Dec 31, 2024 | -23.58% |
| Sep 30, 2024 | -62.62% |
| Jun 30, 2024 | -50.69% |
| Mar 31, 2024 | -56.47% |
| Dec 31, 2023 | -30.68% |
| Sep 30, 2023 | -51.66% |
| Jun 30, 2023 | -58.47% |
| Mar 31, 2023 | -27.30% |
| Dec 31, 2022 | 5.57% |
| Sep 30, 2022 | 116.96% |
| Jun 30, 2022 | 806.79% |
| Mar 31, 2022 | 588.46% |
| Dec 31, 2021 | 19.89% |
| Sep 30, 2021 | 37.62% |
| Jun 30, 2021 | -5.95% |
API Access
American National 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=ANG-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ANG-PD", "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=ANG-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();