Isabella Bank (ISBA) Price to Earnings (2010 - 2026)
Isabella Bank (ISBA) posted Price to Earnings of 59.78 for Q2 2026, down 10.9% on a QoQ basis from 67.09 in Q1 2026, and up 35.5% year-over-year from 44.12 in Q2 2025.
Isabella Bank (ISBA) Price to Earnings (2010 - 2026) Analysis & Trends
Isabella Bank has reported Price to Earnings for 17 years, with the latest figure at 59.78 in Q2 2026.
- On a quarterly basis, Price to Earnings rose 35.5% year-over-year to 59.78 in Q2 2026; TTM through Jun 2026 was 15.09, a 10.56% increase from a year earlier, with the FY2025 full-year figure at 19.36, up 39.35% from the prior year.
- Price to Earnings was 59.78 for Q2 2026 at Isabella Bank, down from 67.09 in the prior quarter.
- The five-year high for Price to Earnings was 78.06 in Q4 2025, with the low at 27.51 in Q3 2022.
- Average Price to Earnings over 5 years is 44.61, with a median of 43.22 recorded in 2023.
- The sharpest annual moves came in 2022 and 2025: Price to Earnings plunged 35.31% in 2022, then surged 61.65% in 2025.
- Over 5 years, Price to Earnings stood at 28.11 in 2022, then jumped by 50.57% to 42.32 in 2023, then increased by 14.11% to 48.29 in 2024, then jumped by 61.65% to 78.06 in 2025, then retreated by 23.42% to 59.78 in 2026.
- The last three Price to Earnings figures came in at 59.78 (Q2 2026), 67.09 (Q1 2026), and 78.06 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 433.80 Bn | 553.74 Bn | - |
| 2 | Truist Financial | 59.87 Bn | 59.87 Bn | - |
| 3 | Fifth Third Bancorp | 48.33 Bn | 24.61 Bn | - |
| 4 | M&T Bank | 32.77 Bn | 32.77 Bn | - |
| 5 | Huntington Bancshares | 32.41 Bn | 27.92 Bn | - |
| 6 | Citizens Financial | 28.48 Bn | 28.48 Bn | - |
| 7 | Regions Financial | 24.32 Bn | 24.39 Bn | - |
| 8 | Keycorp | 22.28 Bn | -25.41 Bn | - |
| 9 | First Citizens Bancshares | 22.03 Bn | 21.51 Bn | 29.00 Mn |
| 10 | Isabella Bank | 291.42 Mn | 249.65 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.78 |
| Mar 31, 2026 | 67.09 |
| Dec 31, 2025 | 78.06 |
| Sep 30, 2025 | 49.45 |
| Jun 30, 2025 | 44.12 |
| Mar 31, 2025 | 44.25 |
| Dec 31, 2024 | 48.29 |
| Sep 30, 2024 | 48.09 |
| Jun 30, 2024 | 39.08 |
| Mar 31, 2024 | 46.31 |
| Dec 31, 2023 | 42.32 |
| Sep 30, 2023 | 35.74 |
| Jun 30, 2023 | 33.20 |
| Mar 31, 2023 | 34.97 |
| Dec 31, 2022 | 28.11 |
| Sep 30, 2022 | 27.51 |
| Jun 30, 2022 | 35.38 |
| Mar 31, 2022 | 41.20 |
| Dec 31, 2021 | 40.08 |
| Sep 30, 2021 | 42.52 |
Isabella Bank 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=ISBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();