Byline Bancorp (BY) Loans - Net (2015 - 2024)
Byline Bancorp's Loans - Net came in at $6.68 billion for the quarter ended Mar 31, 2024, up 23.1% from $5.42 billion a year earlier and up 1.4% from the prior quarter.
Byline Bancorp (BY) Loans - Net (2015 - 2024) Analysis & Trends
As of Dec 31, 2023, Byline Bancorp's Loans - Net was $6.58 billion, up 23.3% from the prior year.
- Loans - Net has increased in each of the last eight years, with a five-year compound annual growth rate of 13.6% (years ended Dec 2018 to Dec 2023).
- Going back by year, Loans - Net was $5.34 billion in the year ended Dec 31, 2022 (+19.1%), $4.48 billion in the year ended Dec 31, 2021 (+4.9%), $4.27 billion in the year ended Dec 31, 2020 (+13.9%) and $3.75 billion in the year ended Dec 31, 2019 (+8.0%).
- The figure for the quarter ended Mar 31, 2024 represents the highest quarterly Loans - Net in data going back to the quarter ended Dec 31, 2015.
- Year-over-year, Loans - Net has increased for 28 consecutive quarters, with growth averaging 17.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Loans - Net ranged from 1.6% (the quarter ended Jun 30, 2021) to 24.9% (the quarter ended Sep 30, 2023).
- Business Quant data shows BY's Loans - Net at $6.58 billion (quarter ended Dec 31, 2023), $6.51 billion (quarter ended Sep 30, 2023) and $5.48 billion (quarter ended Jun 30, 2023) in the three quarters before the quarter ended Mar 31, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 1,516.31 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1,204.51 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 289.32 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 795.18 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 | - | 260.89 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1,017.21 Bn |
| 10 | Byline Bancorp | 1.67 Bn | 868.43 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 6.68 Bn |
| Dec 31, 2023 | 6.58 Bn |
| Sep 30, 2023 | 6.51 Bn |
| Jun 30, 2023 | 5.48 Bn |
| Mar 31, 2023 | 5.42 Bn |
| Dec 31, 2022 | 5.34 Bn |
| Sep 30, 2022 | 5.21 Bn |
| Jun 30, 2022 | 5.11 Bn |
| Mar 31, 2022 | 4.73 Bn |
| Dec 31, 2021 | 4.48 Bn |
| Sep 30, 2021 | 4.55 Bn |
| Jun 30, 2021 | 4.41 Bn |
| Mar 31, 2021 | 4.39 Bn |
| Dec 31, 2020 | 4.27 Bn |
| Sep 30, 2020 | 4.31 Bn |
| Jun 30, 2020 | 4.34 Bn |
| Mar 31, 2020 | 3.82 Bn |
| Dec 31, 2019 | 3.75 Bn |
| Sep 30, 2019 | 3.80 Bn |
| Jun 30, 2019 | 3.83 Bn |
Byline Bancorp Loans - Net 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-net&ticker=BY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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-net&ticker=BY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();