Ames National (ATLO) Long-Term Investments (2009 - 2023)
Ames National's Long-Term Investments came in at $130.17 million for Q4 2013, down 2.8% from $133.97 million a year earlier.
Analysis
Ames National (ATLO) Long-Term Investments (2009 - 2023) Analysis & Trends
- Going back by year, Long-Term Investments was $133.97 million in FY2012 (+18.0%) and $113.53 million in FY2011.
- The Q4 2013 figure represents the lowest quarterly Long-Term Investments since Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 4.32 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 24.50 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 | - | 273.05 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 |
|---|---|
| Dec 31, 2023 | 166.76 Mn |
| Dec 31, 2022 | 148.83 Mn |
| Dec 31, 2019 | 180.50 Mn |
| Dec 31, 2018 | 155.51 Mn |
| Dec 31, 2017 | 153.65 Mn |
| Dec 31, 2016 | 149.96 Mn |
| Dec 31, 2015 | 147.38 Mn |
| Dec 31, 2014 | 141.55 Mn |
| Dec 31, 2013 | 130.17 Mn |
| Dec 31, 2012 | 133.97 Mn |
| Dec 31, 2011 | 113.53 Mn |
| Dec 31, 2010 | 98.92 Mn |
| Dec 31, 2009 | 89.61 Mn |
API Access
Ames National Long-Term Investments 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-investments&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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-investments&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();