Isabella Bank Corp (ISBA) Price to Earnings (2011 - 2026)
Isabella Bank's (ISBA) Price to Earnings stood at 15.09 in Q2 2026, up 10.6% from 13.65 a year earlier but down 10.1% from the prior quarter.
Analysis
Isabella Bank Corp (ISBA) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Isabella Bank's Price to Earnings came in at 19.36, up 39.3% from FY2024.
- Annual Price to Earnings has increased for three straight years.
- Across earlier years, Price to Earnings came in at 13.89 in FY2024 (+56.8%), 8.86 in FY2023 (+10.9%), 7.99 in FY2022 (-18.9%) and 9.85 in FY2021 (-31.5%).
- Quarterly Price to Earnings has ranged from 6.94 in Q2 2023 to 19.36 in Q4 2025 over the past five years.
- On a year-over-year basis, Price to Earnings has increased for 11 consecutive quarters, with growth averaging 37.8% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 56.8% in Q4 2024, against a decline of 45.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.79 (Q1 2026), 19.36 (Q4 2025) and 14.22 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.09 |
| Mar 31, 2026 | 16.79 |
| Dec 31, 2025 | 19.36 |
| Sep 30, 2025 | 14.22 |
| Jun 30, 2025 | 13.65 |
| Mar 31, 2025 | 11.88 |
| Dec 31, 2024 | 13.89 |
| Sep 30, 2024 | 11.52 |
| Jun 30, 2024 | 9.17 |
| Mar 31, 2024 | 9.08 |
| Dec 31, 2023 | 8.86 |
| Sep 30, 2023 | 7.63 |
| Jun 30, 2023 | 6.94 |
| Mar 31, 2023 | 8.15 |
| Dec 31, 2022 | 7.99 |
| Sep 30, 2022 | 7.82 |
| Jun 30, 2022 | 9.60 |
| Mar 31, 2022 | 10.35 |
| Dec 31, 2021 | 9.85 |
| Sep 30, 2021 | 14.25 |
API Access
Isabella Bank Corp 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();