Isabella Bank (ISBA) EBITDA Margin (2009 - 2026)
Isabella Bank (ISBA) recorded EBITDA Margin of 66.29% in Q2 2026, down 12.47 percentage points from 78.76% a year earlier and down 3.31 percentage points from the prior quarter.
Isabella Bank (ISBA) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Isabella Bank's EBITDA Margin came in at 71.60% as of Jun 30, 2026, down 4.02 percentage points year-over-year; for FY2025, it was 76.11%, up 1.36 percentage points from FY2024.
- Annual EBITDA Margin has increased for three straight years, with a five-year change of +31.61 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 74.74% in FY2024 (+11.03 pp), 63.71% in FY2023 (+17.29 pp), 46.42% in FY2022 (-4.28 pp) and 50.69% in FY2021 (+6.19 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 three consecutive quarters, with an average year-over-year change of -0.61 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 33.66 percentage points in Q4 2021, against a drop of 12.47 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 69.60% (Q1 2026), 75.12% (Q4 2025) and 75.84% (Q3 2025).
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 | Isabella Bank | 311.50 Mn | 55.04 Mn | - | 70.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 70.89% |
| Jun 30, 2026 | 66.29% |
| Mar 31, 2026 | 69.60% |
| Dec 31, 2025 | 75.12% |
| Sep 30, 2025 | 75.84% |
| Jun 30, 2025 | 78.76% |
| Mar 31, 2025 | 74.80% |
| Dec 31, 2024 | 75.38% |
| Sep 30, 2024 | 73.41% |
| Jun 30, 2024 | 76.64% |
| Mar 31, 2024 | 73.88% |
| Dec 31, 2023 | 73.17% |
| Sep 30, 2023 | 68.09% |
| Jun 30, 2023 | 59.86% |
| Mar 31, 2023 | 54.63% |
| Dec 31, 2022 | 50.47% |
| Sep 30, 2022 | 46.56% |
| Jun 30, 2022 | 43.87% |
| Mar 31, 2022 | 44.37% |
| Dec 31, 2021 | 47.29% |
Isabella Bank 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=ISBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "ISBA", "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=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();