Ames National (ATLO) Enterprise Value (2009 - 2026)
Ames National (ATLO) posted Enterprise Value of $277.94 million for Q3 2026, up 288.0% from $71.64 million a year earlier and up 79.3% from the prior quarter.
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Analysis
Ames National (ATLO) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2025, Ames National's Enterprise Value came in at $76.61 million, up 67.2% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, Ames National's Enterprise Value was $45.81 million in FY2024 (-66.5%), $136.79 million in FY2023 (-25.8%), $184.42 million in FY2022 (+38.1%) and $133.54 million in FY2021 (+190.1%).
- The Q3 2026 figure stands as the highest quarterly Enterprise Value since Q2 2018.
- On a year-over-year basis, Enterprise Value increased in three of the last six quarters, with growth averaging 59.1%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2026, with growth of 288.0%; the weakest was Q1 2022, with a decline of 66.7%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $155.02 million (Q2 2026), $131.8 million (Q1 2026) and $76.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 202.73 Mn |
| Jun 30, 2026 | 155.02 Mn |
| Mar 31, 2026 | 131.80 Mn |
| Dec 31, 2025 | 76.61 Mn |
| Sep 30, 2025 | 71.64 Mn |
| Jun 30, 2025 | 63.27 Mn |
| Mar 31, 2025 | -7.19 Mn |
| Dec 31, 2024 | 45.81 Mn |
| Sep 30, 2024 | 104.96 Mn |
| Jun 30, 2024 | 120.81 Mn |
| Mar 31, 2024 | 70.06 Mn |
| Dec 31, 2023 | 136.79 Mn |
| Sep 30, 2023 | 59.12 Mn |
| Jun 30, 2023 | 68.83 Mn |
| Mar 31, 2023 | 99.85 Mn |
| Dec 31, 2022 | 184.42 Mn |
| Sep 30, 2022 | 170.19 Mn |
| Jun 30, 2022 | 124.77 Mn |
| Mar 31, 2022 | 77.70 Mn |
| Dec 31, 2021 | 133.54 Mn |
API Access
Ames National Enterprise Value 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=enterprise-value&ticker=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();