Ames National (ATLO) Amortization - Intangibles (2012 - 2026)
Ames National (ATLO) recorded Amortization - Intangibles of $68,000 in Q3 2026, down 11.7% from $77,000 a year earlier and unchanged from the prior quarter.
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Analysis
Ames National (ATLO) Amortization - Intangibles (2012 - 2026) Analysis & Trends
On a TTM basis, Ames National's Amortization - Intangibles came in at $275,000 as of Sep 30, 2026, down 11.0% year-over-year; for FY2025, it came in at $301,000, down 10.7% from FY2024.
- Annual Amortization - Intangibles has declined for five straight years, with a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $337,000 in FY2024 (-32.9%), $502,000 in FY2023 (-12.5%), $574,000 in FY2022 (-8.6%) and $628,000 in FY2021 (-24.0%).
- Quarterly Amortization - Intangibles has ranged from $68,000 in Q2 2026 to $149,000 in Q4 2021 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for 24 consecutive quarters, with an average decline of 13.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Amortization - Intangibles ranged from 8.1% (Q2 2022) to 33.8% (Q3 2024).
- Per Business Quant, the preceding three quarters came in at $68,000 (Q2 2026), $69,000 (Q1 2026) and $70,000 (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 | 68,000.00 |
| Jun 30, 2026 | 68,000.00 |
| Mar 31, 2026 | 69,000.00 |
| Dec 31, 2025 | 70,000.00 |
| Sep 30, 2025 | 77,000.00 |
| Jun 30, 2025 | 77,000.00 |
| Mar 31, 2025 | 77,000.00 |
| Dec 31, 2024 | 78,000.00 |
| Sep 30, 2024 | 86,000.00 |
| Jun 30, 2024 | 86,000.00 |
| Mar 31, 2024 | 87,000.00 |
| Dec 31, 2023 | 114,000.00 |
| Sep 30, 2023 | 130,000.00 |
| Jun 30, 2023 | 128,000.00 |
| Mar 31, 2023 | 130,000.00 |
| Dec 31, 2022 | 136,000.00 |
| Sep 30, 2022 | 145,000.00 |
| Jun 30, 2022 | 147,000.00 |
| Mar 31, 2022 | 146,000.00 |
| Dec 31, 2021 | 149,000.00 |
API Access
Ames National Amortization - Intangibles 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=amortization-intangibles&ticker=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();