Ames National (ATLO) Cash & Equivalents (2019 - 2026)
Ames National's Cash & Equivalents came in at $107.24 million for Q2 2026, up 12.6% from $95.21 million a year earlier but down 9.2% from the prior quarter.
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Analysis
Ames National (ATLO) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Ames National's Cash & Equivalents was $126.75 million, up 25.2% from FY2024.
- Cash & Equivalents has increased in each of the last three years, though with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $101.23 million in FY2024 (+83.7%), $55.1 million in FY2023 (+97.6%), $27.88 million in FY2022 (-68.7%) and $89.13 million in FY2021 (-48.5%).
- The five-year range for quarterly Cash & Equivalents is $27.88 million (Q4 2022) to $163.39 million (Q1 2025).
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 29.9%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2023 (growth of 207.9%), and the weakest in Q4 2022 (a decline of 68.7%).
- Business Quant data shows ATLO's Cash & Equivalents at $118.15 million (Q1 2026), $126.75 million (Q4 2025) and $108.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Ames National | 298.49 Mn | -161.82 Mn | - | 107.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.24 Mn |
| Mar 31, 2026 | 118.15 Mn |
| Dec 31, 2025 | 126.75 Mn |
| Sep 30, 2025 | 108.16 Mn |
| Jun 30, 2025 | 95.21 Mn |
| Mar 31, 2025 | 163.39 Mn |
| Dec 31, 2024 | 101.23 Mn |
| Sep 30, 2024 | 58.97 Mn |
| Jun 30, 2024 | 63.44 Mn |
| Mar 31, 2024 | 111.40 Mn |
| Dec 31, 2023 | 55.10 Mn |
| Sep 30, 2023 | 90.06 Mn |
| Jun 30, 2023 | 93.30 Mn |
| Mar 31, 2023 | 87.19 Mn |
| Dec 31, 2022 | 27.88 Mn |
| Sep 30, 2022 | 29.26 Mn |
| Jun 30, 2022 | 74.68 Mn |
| Mar 31, 2022 | 148.33 Mn |
| Dec 31, 2021 | 89.13 Mn |
| Dec 31, 2020 | 173.10 Mn |
API Access
Ames National Cash & Equivalents 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=cash-and-equivalents&ticker=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();