Ames National (ATLO) Loans - Loss Allowance (2009 - 2026)
Ames National (ATLO) posted Loans - Loss Allowance of $17.31 million for Q2 2026, up 2.0% from $16.97 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Ames National (ATLO) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Ames National's Loans - Loss Allowance came in at $17.7 million, up 3.7% from FY2024.
- Annual Loans - Loss Allowance has increased for three consecutive years, with a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior years, Ames National's Loans - Loss Allowance was $17.06 million in FY2024 (+1.7%), $16.78 million in FY2023 (+6.9%), $15.7 million in FY2022 (-5.6%) and $16.62 million in FY2021 (-3.5%).
- Quarterly Loans - Loss Allowance has run from a low of $15.7 million in Q4 2022 to a high of $18 million in Q1 2025 over five years.
- On a year-over-year basis, Loans - Loss Allowance increased in six of the last eight quarters, with growth averaging 2.5%.
- The strongest year-over-year quarter for Loans - Loss Allowance in the past five years was Q3 2024, with growth of 9.0%; the weakest was Q4 2022, with a decline of 5.6%.
- According to Business Quant data, Loans - Loss Allowance for the three prior quarters was $17.42 million (Q1 2026), $17.7 million (Q4 2025) and $17.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 26.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 13.01 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 | - | -5.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.82 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | -7.49 Bn |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 16.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.71 Mn |
| Jun 30, 2026 | 17.31 Mn |
| Mar 31, 2026 | 17.42 Mn |
| Dec 31, 2025 | 17.70 Mn |
| Sep 30, 2025 | 17.95 Mn |
| Jun 30, 2025 | 16.97 Mn |
| Mar 31, 2025 | 18.00 Mn |
| Dec 31, 2024 | 17.06 Mn |
| Sep 30, 2024 | 17.56 Mn |
| Jun 30, 2024 | 17.20 Mn |
| Mar 31, 2024 | 16.95 Mn |
| Dec 31, 2023 | 16.78 Mn |
| Sep 30, 2023 | 16.12 Mn |
| Jun 30, 2023 | 16.32 Mn |
| Mar 31, 2023 | 16.27 Mn |
| Dec 31, 2022 | 15.70 Mn |
| Sep 30, 2022 | 15.90 Mn |
| Jun 30, 2022 | 16.42 Mn |
| Mar 31, 2022 | 16.48 Mn |
| Dec 31, 2021 | 16.62 Mn |
API Access
Ames National Loans - Loss Allowance 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=loans-loss-allowance&ticker=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();