Ames National (ATLO) Short-Term Debt repayments (2009 - 2023)
Ames National (ATLO) posted Short-Term Debt repayments of -$19 million for Q2 2023.
Analysis
Ames National (ATLO) Short-Term Debt repayments (2009 - 2023) Analysis & Trends
For the trailing twelve months through Jun 30, 2023, Short-Term Debt repayments at Ames National was $16.42 million; for FY2011, it came in at -$2.05 million.
- In prior years, Ames National's Short-Term Debt repayments was $1.91 million in FY2010 and -$924,932 in FY2009.
- The Q2 2023 figure stands as the lowest quarterly Short-Term Debt repayments in data going back to Q3 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (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 | - | -896.50 Mn |
| 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 |
|---|---|
| Jun 30, 2023 | -19.00 Mn |
| Mar 31, 2023 | 35.42 Mn |
| Dec 31, 2011 | -3.09 Mn |
| Sep 30, 2011 | -85,834.00 |
| Jun 30, 2011 | -512,624.00 |
| Mar 31, 2011 | 1.64 Mn |
| Dec 31, 2010 | 1.93 Mn |
| Sep 30, 2010 | -156,492.00 |
| Jun 30, 2009 | -47,538.00 |
| Mar 31, 2009 | -691,049.00 |
API Access
Ames National Short-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=short-term-debt-repayments&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();