Ames National (ATLO) Total Liabilities (2009 - 2026)
Ames National's Total Liabilities was $1.88 billion in Q3 2026, down 1.6% from $1.91 billion a year earlier and down 1.7% from the prior quarter.
Ames National (ATLO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Ames National came in at $1.93 billion, down 1.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $1.96 billion in FY2024 (-1.6%), $1.99 billion in FY2023 (+0.2%), $1.99 billion in FY2022 (+2.9%) and $1.93 billion in FY2021 (+9.2%).
- The Q3 2026 figure marks the lowest quarterly Total Liabilities since Q2 2021.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last eight quarters, with an average decline of 1.7%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 9.2%); the worst was Q3 2024 (a decline of 3.4%).
- Per Business Quant data, ATLO's Total Liabilities in the three quarters before Q3 2026 was $1.91 billion (Q2 2026), $1.93 billion (Q1 2026) and $1.93 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 1.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.88 Bn |
| Jun 30, 2026 | 1.91 Bn |
| Mar 31, 2026 | 1.93 Bn |
| Dec 31, 2025 | 1.93 Bn |
| Sep 30, 2025 | 1.91 Bn |
| Jun 30, 2025 | 1.90 Bn |
| Mar 31, 2025 | 2.00 Bn |
| Dec 31, 2024 | 1.96 Bn |
| Sep 30, 2024 | 1.94 Bn |
| Jun 30, 2024 | 1.96 Bn |
| Mar 31, 2024 | 2.03 Bn |
| Dec 31, 2023 | 1.99 Bn |
| Sep 30, 2023 | 2.01 Bn |
| Jun 30, 2023 | 2.02 Bn |
| Mar 31, 2023 | 2.03 Bn |
| Dec 31, 2022 | 1.99 Bn |
| Sep 30, 2022 | 1.95 Bn |
| Jun 30, 2022 | 1.97 Bn |
| Mar 31, 2022 | 2.01 Bn |
| Dec 31, 2021 | 1.93 Bn |
Ames National Total Liabilities 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=total-liabilities&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();