Byline Bancorp (BY) Buildings (2016 - 2025)
Byline Bancorp (BY) recorded Buildings of $41.95 million in the quarter ended Dec 31, 2025, up 0.7% from $41.67 million a year earlier.
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Analysis
Byline Bancorp (BY) Buildings (2016 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2016, Byline Bancorp's Buildings history includes 10 quarters.
- Annual Buildings has a five-year compound annual growth rate of -5.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Buildings came in at $41.67 million in the year ended Dec 31, 2024 (-5.0%), $43.88 million in the year ended Dec 31, 2023 (+6.2%), $41.34 million in the year ended Dec 31, 2022 (-5.6%) and $43.79 million in the year ended Dec 31, 2021 (-21.4%).
- The figure for the quarter ended Dec 31, 2025 is the highest quarterly Buildings since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Byline Bancorp | 1.67 Bn | 868.43 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 41.95 Mn |
| Dec 31, 2024 | 41.67 Mn |
| Dec 31, 2023 | 43.88 Mn |
| Dec 31, 2022 | 41.34 Mn |
| Dec 31, 2021 | 43.79 Mn |
| Dec 31, 2020 | 55.70 Mn |
| Dec 31, 2019 | 54.80 Mn |
| Dec 31, 2018 | 55.11 Mn |
| Dec 31, 2017 | 61.71 Mn |
| Dec 31, 2016 | 53.50 Mn |
API Access
Byline Bancorp Buildings 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=buildings&ticker=BY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();