Ames National (ATLO) Long-Term Debt Repayments (2009 - 2026)
Ames National's Long-Term Debt Repayments came in at $1.75 million for Q2 2026, down 87.6% from $14.15 million a year earlier.
Ames National (ATLO) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ames National reported Long-Term Debt Repayments of $5.2 million, down 93.9% year-over-year; for FY2025, it came in at $22.4 million, down 87.4% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 62.1% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $177.09 million in FY2024 (-5.3%), $186.96 million in FY2023 and $3.3 million in FY2022.
- The five-year range for quarterly Long-Term Debt Repayments is $150,000 (Q3 2022) to $98.2 million (Q4 2023).
- Year-over-year, Long-Term Debt Repayments has declined for seven consecutive quarters, with an average decline of 51.0% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2024 (growth of 155.1%), and the weakest in Q1 2026 (a decline of 97.0%).
- Business Quant data shows ATLO's Long-Term Debt Repayments at $150,000 (Q1 2026), $2.15 million (Q4 2025) and $1.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.00 Mn |
| Jun 30, 2026 | 1.75 Mn |
| Mar 31, 2026 | 150,000.00 |
| Dec 31, 2025 | 2.15 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 14.15 Mn |
| Mar 31, 2025 | 4.95 Mn |
| Dec 31, 2024 | 32.10 Mn |
| Sep 30, 2024 | 34.33 Mn |
| Jun 30, 2024 | 19.35 Mn |
| Mar 31, 2024 | 91.30 Mn |
| Dec 31, 2023 | 98.20 Mn |
| Sep 30, 2023 | 13.46 Mn |
| Jun 30, 2023 | 150,000.00 |
| Mar 31, 2023 | 75.15 Mn |
| Dec 31, 2022 | 150,000.00 |
| Sep 30, 2022 | 150,000.00 |
| Mar 31, 2022 | 3.00 Mn |
| Mar 31, 2020 | 2.00 Mn |
| Mar 31, 2019 | 12.60 Mn |
Ames National Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();