1St Source (SRCE) Mortgage Banking (2010 - 2026)
1St Source's (SRCE) quarterly Mortgage Banking came in at $858000.0 in Q2 2026, down 23.12% year-over-year from $1.1 million in Q2 2025, and down 15.13% quarter-over-quarter from $1.0 million in Q1 2026.
1St Source (SRCE) Mortgage Banking (2010 - 2026) Analysis & Trends
1St Source has disclosed Mortgage Banking across 17 years of filings, most recently posting $858000.0 for Q2 2026.
- In Q2 2026, Mortgage Banking fell 23.12% year-over-year to $858000.0; the TTM figure through Jun 2026 stood at $4.0 million (up 1.37% YoY), while the FY2025 annual figure was $4.1 million, down 2.54% from the prior year.
- Mortgage Banking came in at $858000.0 for Q2 2026 at 1St Source, down from $1.0 million in the prior quarter.
- In the past five years, Mortgage Banking ranged from a high of $1.4 million in Q1 2022 to a low of $772000.0 in Q4 2023.
- Average Mortgage Banking over 5 years is $987500.0, with a median of $960500.0 recorded in 2023.
- Year-over-year, Mortgage Banking sank 72.56% in 2022 and soared 38.23% in 2024.
- Over 5 years, Mortgage Banking stood at $819000.0 in 2022, then dropped by 5.74% to $772000.0 in 2023, then advanced by 21.5% to $938000.0 in 2024, then climbed by 17.59% to $1.1 million in 2025, then fell by 22.21% to $858000.0 in 2026.
- Per Business Quant data, the three most recent Mortgage Banking figures were $858000.0 in Q2 2026, $1.0 million in Q1 2026, and $1.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn |
| 10 | 1St Source | 2.07 Bn | 2.11 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 858,000.00 |
| Mar 31, 2026 | 1.01 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 1.12 Mn |
| Mar 31, 2025 | 853,000.00 |
| Dec 31, 2024 | 938,000.00 |
| Sep 30, 2024 | 1.04 Mn |
| Jun 30, 2024 | 1.28 Mn |
| Mar 31, 2024 | 950,000.00 |
| Dec 31, 2023 | 772,000.00 |
| Sep 30, 2023 | 971,000.00 |
| Jun 30, 2023 | 926,000.00 |
| Mar 31, 2023 | 802,000.00 |
| Dec 31, 2022 | 819,000.00 |
| Sep 30, 2022 | 864,000.00 |
| Jun 30, 2022 | 1.06 Mn |
| Mar 31, 2022 | 1.38 Mn |
| Dec 31, 2021 | 1.91 Mn |
| Sep 30, 2021 | 3.15 Mn |
1St Source Mortgage Banking 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=mortgage-banking&ticker=SRCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "SRCE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=mortgage-banking&ticker=SRCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();