Ames National (ATLO) Return on Sales [ROS] (2010 - 2026)
Ames National (ATLO) reported Return on Sales [ROS] of 631.66% for Q2 2026, up 34.85 percentage points from 596.81% a year earlier and up 0.12 percentage points from the prior quarter.
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Analysis
Ames National (ATLO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ames National's Return on Sales [ROS] came in at 619.02%, up 25.62 percentage points year-over-year; for FY2025, it came in at 597.10%, up 3.38 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +158.50 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 593.71% in FY2024 (+38.25 pp), 555.46% in FY2023 (+142.56 pp), 412.90% in FY2022 (-29.84 pp) and 442.74% in FY2021 (+4.14 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 357.91% in Q1 2022 and a high of 638.29% in Q3 2025.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +12.25 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 155.83 percentage points); the low point was Q1 2022 (a drop of 158.05 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 631.54% (Q1 2026), 582.36% (Q4 2025) and 638.29% (Q3 2025).
Peer Set
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 | Ames National | 298.49 Mn | -161.82 Mn | - | 76.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 55.12% |
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();