GBank Financial Holdings (GBFH) Loans - Gross (2024 - 2026)
GBank Financial Holdings' Loans - Gross came in at $1.07 billion for Q3 2026, up 14.0% from $940.59 million a year earlier and up 2.3% from the prior quarter.
GBank Financial Holdings (GBFH) Loans - Gross (2024 - 2026) Analysis & Trends
At the end of FY2025, GBank Financial Holdings' Loans - Gross was $959.27 million, up 17.6% from FY2024.
- Going back by year, Loans - Gross was $815.96 million in FY2024.
- The Q3 2026 figure represents the highest quarterly Loans - Gross in data going back to Q4 2024.
- Year-over-year, Loans - Gross has increased for four consecutive quarters, with growth averaging 18.3% over the last four quarters.
- Business Quant data shows GBFH's Loans - Gross at $1.05 billion (Q2 2026), $1.03 billion (Q1 2026) and $959.27 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 1,584.64 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1,251.26 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1,048.11 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | GBank Financial Holdings | 225.30 Mn | -325.37 Mn | - | 1.05 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 959.27 Mn |
| Sep 30, 2025 | 940.59 Mn |
| Jun 30, 2025 | 871.63 Mn |
| Mar 31, 2025 | 843.37 Mn |
| Dec 31, 2024 | 815.96 Mn |
GBank Financial Holdings Loans - Gross 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-gross&ticker=GBFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "ticker": "GBFH", "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-gross&ticker=GBFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();