Ames National (ATLO) EBITDA Margin (2009 - 2026)
Ames National (ATLO) recorded EBITDA Margin of 78.54% in Q2 2026, down 8.71 percentage points from 87.25% a year earlier and down 3.03 percentage points from the prior quarter.
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Analysis
Ames National (ATLO) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Ames National's EBITDA Margin came in at 82.48% as of Jun 30, 2026, down 6.92 percentage points year-over-year; for FY2025, it was 85.12%, down 8.95 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +34.50 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 94.07% in FY2024 (+11.76 pp), 82.31% in FY2023 (+25.95 pp), 56.36% in FY2022 (+0.47 pp) and 55.89% in FY2021 (+5.27 pp).
- The Q2 2026 figure is the lowest quarterly EBITDA Margin since Q2 2023.
- On a year-over-year basis, EBITDA Margin has declined for six consecutive quarters, with an average year-over-year change of -4.93 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 31.86 percentage points in Q3 2023, against a drop of 11.30 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 81.57% (Q1 2026), 86.04% (Q4 2025) and 83.99% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Ames National | 301.77 Mn | -125.59 Mn | - | 79.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.64% |
| Jun 30, 2026 | 78.54% |
| Mar 31, 2026 | 81.57% |
| Dec 31, 2025 | 86.04% |
| Sep 30, 2025 | 83.99% |
| Jun 30, 2025 | 87.25% |
| Mar 31, 2025 | 83.00% |
| Dec 31, 2024 | 94.26% |
| Sep 30, 2024 | 93.98% |
| Jun 30, 2024 | 93.74% |
| Mar 31, 2024 | 94.31% |
| Dec 31, 2023 | 89.17% |
| Sep 30, 2023 | 92.37% |
| Jun 30, 2023 | 78.09% |
| Mar 31, 2023 | 70.49% |
| Dec 31, 2022 | 65.55% |
| Sep 30, 2022 | 60.51% |
| Jun 30, 2022 | 49.83% |
| Mar 31, 2022 | 49.87% |
| Dec 31, 2021 | 53.18% |
API Access
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_KEYimport 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();