Ames National (ATLO) Interest Expense - Others (2009 - 2023)
Ames National (ATLO) recorded Interest Expense - Others of -$374.00 in Q4 2019.
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Analysis
Ames National (ATLO) Interest Expense - Others (2009 - 2023) Analysis & Trends
Starting with Q1 2015, Ames National's Interest Expense - Others history includes 10 quarters.
- The Q4 2019 figure is the highest quarterly Interest Expense - Others since Q4 2017.
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 |
|---|---|
| Mar 31, 2023 | -5.53 Mn |
| Mar 31, 2022 | -920,000.00 |
| Dec 31, 2019 | -374.00 |
| Jun 30, 2018 | -1.79 Mn |
| Mar 31, 2018 | -1.61 Mn |
| Dec 31, 2017 | -166.00 |
| Sep 30, 2017 | -1.46 Mn |
| Jun 30, 2017 | -1.41 Mn |
| Mar 31, 2017 | -1.20 Mn |
| Dec 31, 2016 | -135.00 |
| Sep 30, 2016 | -1.03 Mn |
| Jun 30, 2016 | -1.01 Mn |
| Mar 31, 2016 | -1.01 Mn |
| Dec 31, 2015 | -570.00 |
| Sep 30, 2015 | 251.00 |
| Jun 30, 2015 | -261.00 |
| Mar 31, 2015 | -1.10 Mn |
| Jun 30, 2014 | -1.17 Mn |
| Jun 30, 2013 | -1.30 Mn |
| Mar 31, 2011 | -1.75 Mn |
API Access
Ames National Interest Expense - Others 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=interest-expense-others&ticker=ATLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-others", "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=interest-expense-others&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();