Ames National (ATLO) Price to Earnings (2010 - 2026)
Ames National (ATLO) posted Price to Earnings of 44.22 for Q2 2026, up 5.44% on a QoQ basis from 41.94 in Q1 2026, and up 25.86% year-over-year from 35.13 in Q2 2025.
Ames National (ATLO) Price to Earnings (2010 - 2026) Analysis & Trends
Ames National has reported Price to Earnings for 17 years, with the latest figure at 44.22 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 25.86% year-over-year to 44.22 in Q2 2026; TTM through Jun 2026 was 11.51, a 4.62% decrease from a year earlier, with the FY2025 full-year figure at 10.99, down 30.45% from the prior year.
- Price to Earnings was 44.22 for Q2 2026 at Ames National, up from 41.94 in the prior quarter.
- The five-year high for Price to Earnings was 127.59 in Q4 2023, with the low at 32.07 in Q4 2025.
- Average Price to Earnings over 5 years is 55.62, with a median of 47.84 recorded in 2022.
- The sharpest annual moves came in 2023 and 2024: Price to Earnings jumped 165.15% in 2023, then plunged 61.13% in 2024.
- Over 5 years, Price to Earnings stood at 48.12 in 2022, then surged by 165.15% to 127.59 in 2023, then plunged by 61.13% to 49.59 in 2024, then sank by 35.33% to 32.07 in 2025, then surged by 37.88% to 44.22 in 2026.
- The last three Price to Earnings figures came in at 44.22 (Q2 2026), 41.94 (Q1 2026), and 32.07 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn |
| 10 | Ames National | 282.63 Mn | 175.39 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.22 |
| Mar 31, 2026 | 41.94 |
| Dec 31, 2025 | 32.07 |
| Sep 30, 2025 | 39.44 |
| Jun 30, 2025 | 35.13 |
| Mar 31, 2025 | 45.37 |
| Dec 31, 2024 | 49.59 |
| Sep 30, 2024 | 73.94 |
| Jun 30, 2024 | 84.36 |
| Mar 31, 2024 | 78.76 |
| Dec 31, 2023 | 127.59 |
| Sep 30, 2023 | 51.02 |
| Jun 30, 2023 | 63.41 |
| Mar 31, 2023 | 58.50 |
| Dec 31, 2022 | 48.12 |
| Sep 30, 2022 | 35.98 |
| Jun 30, 2022 | 47.57 |
| Mar 31, 2022 | 44.19 |
| Dec 31, 2021 | 42.04 |
| Sep 30, 2021 | 31.41 |
Ames National Price to Earnings 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=price-to-earnings&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();