Ames National (ATLO) EBITDA Margin (2010 - 2026)
Ames National (ATLO) posted EBITDA Margin of 920.23% for Q2 2026, up 1.46% on a QoQ basis from 906.95% in Q1 2026, and up 2069.0% year-over-year from 42.43% in Q2 2025.
Ames National (ATLO) EBITDA Margin (2010 - 2026) Analysis & Trends
Ames National has reported EBITDA Margin for 17 years, with the latest figure at 920.23% in Q2 2026.
- On a quarterly basis, EBITDA Margin rose 2069.0% year-over-year to 920.23% in Q2 2026; TTM through Jun 2026 was 897.74%, a 2728.0% decrease from a year earlier, with the FY2025 full-year figure at 881.79%, down 5742.0% from the prior year.
- EBITDA Margin was 920.23% for Q2 2026 at Ames National, up from 906.95% in the prior quarter.
- The five-year high for EBITDA Margin was 1002.07% in Q3 2023, with the low at 576.02% in Q1 2022.
- Average EBITDA Margin over 5 years is 864.62%, with a median of 880.52% recorded in 2025.
- The sharpest annual moves came in 2022 and 2023: EBITDA Margin tumbled 38117 bps in 2022, then jumped 29080 bps in 2023.
- Over 5 years, EBITDA Margin stood at 704.82% in 2022, then jumped by 41 bps to 995.62% in 2023, then fell by 3 bps to 963.92% in 2024, then decreased by 16 bps to 810.49% in 2025, then increased by 14 bps to 920.23% in 2026.
- The last three EBITDA Margin figures came in at 920.23% (Q2 2026), 906.95% (Q1 2026), and 810.49% (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - | - |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - | 79.03% |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - | 66.98% |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - | 74.68% |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - | 78.46% |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - | 73.02% |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - | 62.35% |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - | 74.44% |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn | -1,920.27% |
| 10 | Ames National | 282.63 Mn | 175.39 Mn | - | 920.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 920.23% |
| Mar 31, 2026 | 906.95% |
| Dec 31, 2025 | 810.49% |
| Sep 30, 2025 | 983.92% |
| Jun 30, 2025 | 899.54% |
| Mar 31, 2025 | 861.50% |
| Dec 31, 2024 | 963.92% |
| Sep 30, 2024 | 986.23% |
| Jun 30, 2024 | 828.73% |
| Mar 31, 2024 | 997.91% |
| Dec 31, 2023 | 995.62% |
| Sep 30, 2023 | 1,002.07% |
| Jun 30, 2023 | 861.27% |
| Mar 31, 2023 | 806.44% |
| Dec 31, 2022 | 704.82% |
| Sep 30, 2022 | 858.33% |
| Jun 30, 2022 | 599.12% |
| Mar 31, 2022 | 576.02% |
| Dec 31, 2021 | 662.99% |
| Sep 30, 2021 | 832.52% |
Ames National EBITDA Margin 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=ebitda-margin&ticker=ATLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=ATLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();