Ames National Corp (ATLO) Other Non-Interest Expense (2010 - 2026)
Analysis
Ames National Corp (ATLO) Other Non-Interest Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 688,000.00 |
| Mar 31, 2026 | 731,000.00 |
| Dec 31, 2025 | 944,000.00 |
| Sep 30, 2025 | 874,000.00 |
| Jun 30, 2025 | 808,000.00 |
| Mar 31, 2025 | 944,000.00 |
| Dec 31, 2024 | 1.14 Mn |
| Sep 30, 2024 | 760,000.00 |
| Jun 30, 2024 | 774,000.00 |
| Mar 31, 2024 | 897,000.00 |
| Dec 31, 2023 | 875,000.00 |
| Sep 30, 2023 | 773,000.00 |
| Jun 30, 2023 | 1.30 Mn |
| Mar 31, 2023 | 919,000.00 |
| Dec 31, 2022 | 928,000.00 |
| Sep 30, 2022 | 857,000.00 |
| Jun 30, 2022 | 930,000.00 |
| Mar 31, 2022 | 852,000.00 |
| Dec 31, 2021 | 919,000.00 |
| Sep 30, 2021 | 762,000.00 |
API Access
Ames National Corp Other Non-Interest Expense 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=other-non-interest-expense&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();