Byline Bancorp (BY) EPS (Basic) (2016 - 2026)
Byline Bancorp's EPS (Basic) came in at $0.94 for the quarter ended Sep 30, 2026, up 13.6% from $0.82 a year earlier and up 4.0% from the prior quarter.
Byline Bancorp (BY) EPS (Basic) (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Byline Bancorp reported EPS (Basic) of $3.45, up 23.8% year-over-year; for the year ended Dec 31, 2025, it came in at $2.90, up 4.4% from the prior year.
- EPS (Basic) has increased in each of the last three years, with a five-year compound annual growth rate of 24.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, EPS (Basic) was $2.78 in the year ended Dec 31, 2024 (+3.2%), $2.69 in the year ended Dec 31, 2023 (+13.5%), $2.37 in the year ended Dec 31, 2022 (-3.0%) and $2.45 in the year ended Dec 31, 2021 (+153.6%).
- The figure for the quarter ended Sep 30, 2026 represents the highest quarterly EPS (Basic) since the quarter ended Dec 31, 2016.
- Year-over-year, EPS (Basic) has increased for five consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- The fastest year-over-year change in EPS (Basic) over five years came in the quarter ended Dec 31, 2021 (growth of 42.1%), and the weakest in the quarter ended Jun 30, 2022 (a decline of 26.6%).
- Business Quant data shows BY's EPS (Basic) at $0.90 (quarter ended Jun 30, 2026), $0.84 (quarter ended Mar 31, 2026) and $0.77 (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 5.58 |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1.50 |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.93 |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 2.03 |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.07 |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 3.07 |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 17.30 |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.89 |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2.15 |
| 10 | Byline Bancorp | 1.73 Bn | 972.78 Mn | - | 0.94 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.94 |
| Jun 30, 2026 | 0.90 |
| Mar 31, 2026 | 0.84 |
| Dec 31, 2025 | 0.77 |
| Sep 30, 2025 | 0.82 |
| Jun 30, 2025 | 0.66 |
| Mar 31, 2025 | 0.65 |
| Dec 31, 2024 | 2.77 |
| Sep 30, 2024 | 0.70 |
| Jun 30, 2024 | 0.71 |
| Mar 31, 2024 | 0.73 |
| Dec 31, 2023 | 0.74 |
| Sep 30, 2023 | 0.66 |
| Jun 30, 2023 | 0.70 |
| Mar 31, 2023 | 0.65 |
| Dec 31, 2022 | 0.61 |
| Sep 30, 2022 | 0.61 |
| Jun 30, 2022 | 0.55 |
| Mar 31, 2022 | 0.60 |
| Dec 31, 2021 | 0.45 |
Byline Bancorp EPS (Basic) 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=eps-basic&ticker=BY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();