Byline Bancorp (BY) Change in Accured Expenses (2016 - 2026)
Byline Bancorp (BY) reported Change in Accured Expenses of -$45.91 million for the quarter ended Jun 30, 2026, compared with -$44.56 million a year earlier.
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Analysis
Byline Bancorp (BY) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Byline Bancorp's Change in Accured Expenses came in at $23.92 million; for the year ended Dec 31, 2025, it came in at $23.83 million, down 43.8% from the prior year.
- Change in Accured Expenses has a five-year compound annual growth rate of -3.7% (years ended Dec 2020 to Dec 2025).
- By year, Change in Accured Expenses came in at $42.43 million in the year ended Dec 31, 2024, -$7.31 million in the year ended Dec 31, 2023, $111.43 million in the year ended Dec 31, 2022 and -$15.16 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Change in Accured Expenses since the quarter ended Sep 30, 2024.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $59.62 million (quarter ended Mar 31, 2026), $3.98 million (quarter ended Dec 31, 2025) and $6.23 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Byline Bancorp | 1.71 Bn | 905.49 Mn | - | -45.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -45.91 Mn |
| Mar 31, 2026 | 59.62 Mn |
| Dec 31, 2025 | 3.98 Mn |
| Sep 30, 2025 | 6.23 Mn |
| Jun 30, 2025 | -44.56 Mn |
| Mar 31, 2025 | 58.18 Mn |
| Dec 31, 2024 | 20.79 Mn |
| Sep 30, 2024 | -47.80 Mn |
| Jun 30, 2024 | -7.72 Mn |
| Mar 31, 2024 | 77.16 Mn |
| Dec 31, 2023 | -56.82 Mn |
| Sep 30, 2023 | 38.36 Mn |
| Jun 30, 2023 | -4.24 Mn |
| Mar 31, 2023 | 15.38 Mn |
| Dec 31, 2022 | -7.37 Mn |
| Sep 30, 2022 | 53.23 Mn |
| Jun 30, 2022 | 30.56 Mn |
| Mar 31, 2022 | 35.00 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | -1.96 Mn |
API Access
Byline Bancorp Change in Accured 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=change-in-accured-expenses&ticker=BY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();