Ames National (ATLO) Provision for Losses (2009 - 2026)
Ames National's Provision for Losses was $143,000 in Q2 2026, up 90.7% from $75,000 a year earlier.
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Analysis
Ames National (ATLO) Provision for Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ames National's Provision for Losses was -$240,000 through Jun 30, 2026; for FY2025, it came in at $996,000, up 35.5% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -29.4% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $735,000 in FY2024 (-5.0%), $774,000 in FY2023, -$874,000 in FY2022 and -$757,000 in FY2021.
- Quarterly Provision for Losses has moved between -$708,000 (Q4 2025) and $994,000 (Q1 2025) over five years.
- Compared with a year earlier, Provision for Losses was higher in three of the last four quarters, with growth averaging 142.6%.
- Per Business Quant data, ATLO's Provision for Losses in the three quarters before Q2 2026 was -$310,000 (Q1 2026), -$708,000 (Q4 2025) and $635,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 144,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 144,000.00 |
| Jun 30, 2026 | 143,000.00 |
| Mar 31, 2026 | -310,000.00 |
| Dec 31, 2025 | -708,000.00 |
| Sep 30, 2025 | 635,000.00 |
| Jun 30, 2025 | 75,000.00 |
| Mar 31, 2025 | 994,000.00 |
| Dec 31, 2024 | -57,000.00 |
| Sep 30, 2024 | 369,000.00 |
| Jun 30, 2024 | 251,000.00 |
| Mar 31, 2024 | 172,000.00 |
| Dec 31, 2023 | 694,000.00 |
| Sep 30, 2023 | -205,000.00 |
| Jun 30, 2023 | 73,000.00 |
| Mar 31, 2023 | 212,000.00 |
| Dec 31, 2022 | -168,000.00 |
| Sep 30, 2022 | -520,000.00 |
| Jun 30, 2022 | -59,000.00 |
| Mar 31, 2022 | -127,000.00 |
| Dec 31, 2021 | -217,000.00 |
API Access
Ames National Provision for Losses 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=provision-for-losses&ticker=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();