Byline Bancorp (BY) EPS (Diluted) (2016 - 2026)
Byline Bancorp (BY) posted EPS (Diluted) of $0.90 for the quarter ended Jun 30, 2026, up 35.6% from $0.66 a year earlier and up 7.5% from the prior quarter.
Byline Bancorp (BY) EPS (Diluted) (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Byline Bancorp was $3.34, up 27.6% year-over-year; for the year ended Dec 31, 2025, it was $2.89, up 4.8% from the prior year.
- Annual EPS (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 24.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Byline Bancorp's EPS (Diluted) was $2.75 in the year ended Dec 31, 2024 (+3.2%), $2.67 in the year ended Dec 31, 2023 (+13.9%), $2.34 in the year ended Dec 31, 2022 (-2.3%) and $2.40 in the year ended Dec 31, 2021 (+150.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Diluted) since the quarter ended Dec 31, 2016.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last four quarters, with growth averaging 10.7% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was the quarter ended Sep 30, 2021, with growth of 96.2%; the weakest was the quarter ended Jun 30, 2022, with a decline of 26.3%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $0.83 (quarter ended Mar 31, 2026), $0.77 (quarter ended Dec 31, 2025) and $0.82 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 7.70 |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 0.00 |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.20 |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 3.46 |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 3.06 |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 20.99 |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2.00 |
| 10 | Byline Bancorp | 1.67 Bn | 868.43 Mn | - | 0.90 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.90 |
| Mar 31, 2026 | 0.83 |
| Dec 31, 2025 | 0.77 |
| Sep 30, 2025 | 0.82 |
| Jun 30, 2025 | 0.66 |
| Mar 31, 2025 | 0.64 |
| Dec 31, 2024 | 0.69 |
| Sep 30, 2024 | 0.69 |
| Jun 30, 2024 | 0.68 |
| Mar 31, 2024 | 0.70 |
| Dec 31, 2023 | 0.73 |
| Sep 30, 2023 | 0.65 |
| Jun 30, 2023 | 0.70 |
| Mar 31, 2023 | 0.64 |
| Dec 31, 2022 | 0.61 |
| Sep 30, 2022 | 0.61 |
| Jun 30, 2022 | 0.54 |
| Mar 31, 2022 | 0.58 |
| Dec 31, 2021 | 0.44 |
| Sep 30, 2021 | 0.66 |
Byline Bancorp EPS (Diluted) 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-diluted&ticker=BY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();