Ames National (ATLO) Professional Fees (2012 - 2026)
Ames National's Professional Fees came in at $1.02 million for Q3 2026, up 147.6% from $412,000 a year earlier and up 12.1% from the prior quarter.
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Analysis
Ames National (ATLO) Professional Fees (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Ames National reported Professional Fees of $3.35 million, up 80.7% year-over-year; for FY2025, it came in at $2.08 million, down 20.0% from FY2024.
- Professional Fees carries a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Going back by year, Professional Fees was $2.61 million in FY2024 (+25.2%), $2.08 million in FY2023 (+10.2%), $1.89 million in FY2022 (+13.5%) and $1.66 million in FY2021 (+8.2%).
- The Q3 2026 figure represents the highest quarterly Professional Fees in data going back to Q1 2012.
- Year-over-year, Professional Fees has increased for four consecutive quarters, with growth averaging 27.8% over the last eight quarters.
- The fastest year-over-year change in Professional Fees over five years came in Q3 2026 (growth of 147.6%), and the weakest in Q3 2025 (a decline of 52.5%).
- Business Quant data shows ATLO's Professional Fees at $910,000 (Q2 2026), $770,000 (Q1 2026) and $646,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 1.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.02 Mn |
| Jun 30, 2026 | 910,000.00 |
| Mar 31, 2026 | 770,000.00 |
| Dec 31, 2025 | 646,000.00 |
| Sep 30, 2025 | 412,000.00 |
| Jun 30, 2025 | 540,000.00 |
| Mar 31, 2025 | 485,000.00 |
| Dec 31, 2024 | 415,000.00 |
| Sep 30, 2024 | 867,000.00 |
| Jun 30, 2024 | 863,000.00 |
| Mar 31, 2024 | 460,000.00 |
| Dec 31, 2023 | 541,000.00 |
| Sep 30, 2023 | 545,000.00 |
| Jun 30, 2023 | 535,000.00 |
| Mar 31, 2023 | 460,000.00 |
| Dec 31, 2022 | 481,000.00 |
| Sep 30, 2022 | 431,000.00 |
| Jun 30, 2022 | 502,000.00 |
| Mar 31, 2022 | 474,000.00 |
| Dec 31, 2021 | 356,000.00 |
API Access
Ames National Professional Fees 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=professional-fees&ticker=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();