Byline Bancorp (BY) Price to Earnings (2017 - 2026)
Byline Bancorp's (BY) Price to Earnings was 10.80 for the quarter ended Sep 30, 2026, up 6.9% from 10.10 a year earlier but down 5.1% from the prior quarter.
Byline Bancorp (BY) Price to Earnings (2017 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Byline Bancorp was 10.21, down 4.4% from the prior year.
- By year, Price to Earnings came in at 10.68 in the year ended Dec 31, 2024 (+11.7%), 9.56 in the year ended Dec 31, 2023 (-2.6%), 9.81 in the year ended Dec 31, 2022 (-12.5%) and 11.21 in the year ended Dec 31, 2021 (-31.1%).
- Five-year quarterly Price to Earnings spans a low of 7.16 in the quarter ended Jun 30, 2023 and a high of 11.39 in the quarter ended Jun 30, 2026.
- Year over year, Price to Earnings has now increased in each of the last three quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was the quarter ended Jun 30, 2024 (growth of 24.2%); the low point was the quarter ended Jun 30, 2023 (a decline of 32.5%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at 11.39 (quarter ended Jun 30, 2026), 10.29 (quarter ended Mar 31, 2026) and 10.21 (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Byline Bancorp | 1.73 Bn | 972.78 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.68 |
| Jun 30, 2026 | 11.39 |
| Mar 31, 2026 | 10.29 |
| Dec 31, 2025 | 10.21 |
| Sep 30, 2025 | 5.89 |
| Jun 30, 2025 | 5.87 |
| Mar 31, 2025 | 5.58 |
| Dec 31, 2024 | 6.06 |
| Sep 30, 2024 | 9.73 |
| Jun 30, 2024 | 8.74 |
| Mar 31, 2024 | 8.29 |
| Dec 31, 2023 | 9.56 |
| Sep 30, 2023 | 8.53 |
| Jun 30, 2023 | 7.16 |
| Mar 31, 2023 | 9.10 |
| Dec 31, 2022 | 9.81 |
| Sep 30, 2022 | 9.25 |
| Jun 30, 2022 | 10.61 |
| Mar 31, 2022 | 10.90 |
| Dec 31, 2021 | 11.21 |
Byline Bancorp 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=BY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "BY", "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=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();