Ames National (ATLO) Revenue (2009 - 2026)
Ames National (ATLO) reported Revenue of $19.08 million for Q2 2026, up 18.5% from $16.11 million a year earlier and up 4.8% from the prior quarter.
Ames National (ATLO) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ames National's Revenue came in at $72.56 million, up 21.3% year-over-year; for FY2025, it was $66.83 million, up 21.9% from FY2024.
- Revenue has a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- By year, Revenue came in at $54.81 million in FY2024 (+1.8%), $53.84 million in FY2023 (-14.4%), $62.93 million in FY2022 (-5.4%) and $66.53 million in FY2021 (+1.6%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q2 2010.
- Year over year, Revenue has now increased in each of the last eight quarters, with growth averaging 17.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q4 2025 (growth of 26.7%); the low point was Q3 2023 (a decline of 18.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.22 million (Q1 2026), $18.68 million (Q4 2025) and $16.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 18.62 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 9.94 Bn |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 20.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.42 Mn |
| Jun 30, 2026 | 19.08 Mn |
| Mar 31, 2026 | 18.22 Mn |
| Dec 31, 2025 | 18.68 Mn |
| Sep 30, 2025 | 16.58 Mn |
| Jun 30, 2025 | 16.11 Mn |
| Mar 31, 2025 | 15.46 Mn |
| Dec 31, 2024 | 14.75 Mn |
| Sep 30, 2024 | 13.49 Mn |
| Jun 30, 2024 | 13.49 Mn |
| Mar 31, 2024 | 13.08 Mn |
| Dec 31, 2023 | 13.25 Mn |
| Sep 30, 2023 | 13.05 Mn |
| Jun 30, 2023 | 13.62 Mn |
| Mar 31, 2023 | 13.92 Mn |
| Dec 31, 2022 | 15.26 Mn |
| Sep 30, 2022 | 15.95 Mn |
| Jun 30, 2022 | 16.02 Mn |
| Mar 31, 2022 | 15.71 Mn |
| Dec 31, 2021 | 16.23 Mn |
Ames National Revenue 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=revenue&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();