Byline Bancorp (BY) Accumulated Expenses (2016 - 2026)
Byline Bancorp (BY) posted Accumulated Expenses of $151.26 million for the quarter ended Jun 30, 2026, down 4.2% from $157.95 million a year earlier and down 14.8% from the prior quarter.
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Analysis
Byline Bancorp (BY) Accumulated Expenses (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Byline Bancorp's Accumulated Expenses came in at $172.38 million, up 14.4% from the prior year.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 18.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Byline Bancorp's Accumulated Expenses was $150.64 million in the year ended Dec 31, 2024 (+8.5%), $138.81 million in the year ended Dec 31, 2023 (+5.4%), $131.69 million in the year ended Dec 31, 2022 (+124.3%) and $58.71 million in the year ended Dec 31, 2021 (-20.7%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Accumulated Expenses since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 3.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Dec 31, 2022, with growth of 124.3%; the weakest was the quarter ended Sep 30, 2024, with a decline of 21.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $177.5 million (quarter ended Mar 31, 2026), $172.38 million (quarter ended Dec 31, 2025) and $164.97 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Byline Bancorp | 1.66 Bn | 864.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 151.26 Mn |
| Mar 31, 2026 | 177.50 Mn |
| Dec 31, 2025 | 172.38 Mn |
| Sep 30, 2025 | 164.97 Mn |
| Jun 30, 2025 | 157.95 Mn |
| Mar 31, 2025 | 177.02 Mn |
| Dec 31, 2024 | 150.64 Mn |
| Sep 30, 2024 | 166.55 Mn |
| Jun 30, 2024 | 190.25 Mn |
| Mar 31, 2024 | 185.60 Mn |
| Dec 31, 2023 | 138.81 Mn |
| Sep 30, 2023 | 212.34 Mn |
| Jun 30, 2023 | 158.40 Mn |
| Mar 31, 2023 | 148.06 Mn |
| Dec 31, 2022 | 131.69 Mn |
| Sep 30, 2022 | 152.73 Mn |
| Jun 30, 2022 | 119.36 Mn |
| Mar 31, 2022 | 93.84 Mn |
| Dec 31, 2021 | 58.71 Mn |
| Sep 30, 2021 | 72.37 Mn |
API Access
Byline Bancorp Accumulated Expenses 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=accumulated-expenses&ticker=BY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();