Byline Bancorp, Inc. (BY) Other Non-Interest Expense (2016 - 2026)
Analysis
Byline Bancorp, Inc. (BY) Other Non-Interest Expense (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.72 Mn |
| Mar 31, 2026 | 14.78 Mn |
| Dec 31, 2025 | 15.68 Mn |
| Sep 30, 2025 | 16.63 Mn |
| Jun 30, 2025 | 15.30 Mn |
| Mar 31, 2025 | 13.89 Mn |
| Dec 31, 2024 | 14.33 Mn |
| Sep 30, 2024 | 13.79 Mn |
| Jun 30, 2024 | 13.92 Mn |
| Mar 31, 2024 | 14.37 Mn |
| Dec 31, 2023 | 15.08 Mn |
| Sep 30, 2023 | 14.90 Mn |
| Jun 30, 2023 | 13.96 Mn |
| Mar 31, 2023 | 13.17 Mn |
| Dec 31, 2022 | 12.77 Mn |
| Sep 30, 2022 | 11.61 Mn |
| Jun 30, 2022 | 10.81 Mn |
| Mar 31, 2022 | 10.81 Mn |
| Dec 31, 2021 | 25.79 Mn |
| Sep 30, 2021 | 13.36 Mn |
API Access
Byline Bancorp, Inc. Other Non-Interest Expense 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=other-non-interest-expense&ticker=BY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();