Ames National (ATLO) Return on Sales [ROS] (2009 - 2026)
Ames National (ATLO) reported Return on Sales [ROS] of 76.52% for Q2 2026, down 8.25 percentage points from 84.78% a year earlier and down 2.94 percentage points from the prior quarter.
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Analysis
Ames National (ATLO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ames National's Return on Sales [ROS] came in at 80.32%, down 6.31 percentage points year-over-year; for FY2025, it came in at 82.74%, down 8.25 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +34.88 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 90.99% in FY2024 (+11.93 pp), 79.06% in FY2023 (+25.87 pp), 53.19% in FY2022 (+0.34 pp) and 52.84% in FY2021 (+4.98 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q2 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last six quarters, with an average year-over-year change of -4.38 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 31.64 percentage points); the low point was Q1 2025 (a drop of 10.69 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 79.46% (Q1 2026), 83.96% (Q4 2025) and 81.52% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 77.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.40% |
| Jun 30, 2026 | 76.52% |
| Mar 31, 2026 | 79.46% |
| Dec 31, 2025 | 83.96% |
| Sep 30, 2025 | 81.52% |
| Jun 30, 2025 | 84.78% |
| Mar 31, 2025 | 80.46% |
| Dec 31, 2024 | 91.30% |
| Sep 30, 2024 | 90.80% |
| Jun 30, 2024 | 90.67% |
| Mar 31, 2024 | 91.15% |
| Dec 31, 2023 | 85.80% |
| Sep 30, 2023 | 88.85% |
| Jun 30, 2023 | 74.95% |
| Mar 31, 2023 | 67.48% |
| Dec 31, 2022 | 62.30% |
| Sep 30, 2022 | 57.21% |
| Jun 30, 2022 | 46.61% |
| Mar 31, 2022 | 46.95% |
| Dec 31, 2021 | 50.00% |
API Access
Ames 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=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ATLO", "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=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();