Byline Bancorp (BY) Loans (2016 - 2026)
Byline Bancorp (BY) reported Loans of $21.52 million for the quarter ended Jun 30, 2026, down 16.6% from $25.81 million a year earlier but up 122.2% from the prior quarter.
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Analysis
Byline Bancorp (BY) Loans (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Byline Bancorp posted Loans of $13.62 million, up 325.7% from the prior year.
- Loans has a five-year compound annual growth rate of 11.4% (years ended Dec 2020 to Dec 2025).
- By year, Loans came in at $3.2 million in the year ended Dec 31, 2024 (-82.2%), $18.01 million in the year ended Dec 31, 2023 (-62.4%), $47.82 million in the year ended Dec 31, 2022 (-25.8%) and $64.46 million in the year ended Dec 31, 2021 (+713.5%).
- Five-year quarterly Loans spans a low of $3.2 million in the quarter ended Dec 31, 2024 and a high of $64.46 million in the quarter ended Dec 31, 2021.
- Year over year, Loans gained in four of the last eight quarters, with growth averaging 54.0%.
- The high point for year-over-year Loans in five years was the quarter ended Dec 31, 2021 (growth of 713.5%); the low point was the quarter ended Dec 31, 2024 (a decline of 82.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $9.69 million (quarter ended Mar 31, 2026), $13.62 million (quarter ended Dec 31, 2025) and $20.57 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans (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 | - | 13.06 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 | - | 21.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.52 Mn |
| Mar 31, 2026 | 9.69 Mn |
| Dec 31, 2025 | 13.62 Mn |
| Sep 30, 2025 | 20.57 Mn |
| Jun 30, 2025 | 25.81 Mn |
| Mar 31, 2025 | 21.33 Mn |
| Dec 31, 2024 | 3.20 Mn |
| Sep 30, 2024 | 19.96 Mn |
| Jun 30, 2024 | 13.36 Mn |
| Mar 31, 2024 | 23.57 Mn |
| Dec 31, 2023 | 18.01 Mn |
| Sep 30, 2023 | 7.30 Mn |
| Jun 30, 2023 | 26.00 Mn |
| Mar 31, 2023 | 28.38 Mn |
| Dec 31, 2022 | 47.82 Mn |
| Sep 30, 2022 | 33.98 Mn |
| Jun 30, 2022 | 17.28 Mn |
| Mar 31, 2022 | 39.52 Mn |
| Dec 31, 2021 | 64.46 Mn |
| Sep 30, 2021 | 48.37 Mn |
API Access
Byline Bancorp Loans 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=loans&ticker=BY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans", "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=loans&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();