Blue Ridge Bankshares (BRBS) Total Liabilities (2018 - 2026)
Blue Ridge Bankshares (BRBS) recorded Total Liabilities of $2.08 billion in Q3 2026, down 3.1% from $2.14 billion a year earlier but up 1.1% from the prior quarter.
Blue Ridge Bankshares (BRBS) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Blue Ridge Bankshares reported Total Liabilities of $2.11 billion, down 12.5% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.41 billion in FY2024 (-17.8%), $2.93 billion in FY2023 (+1.7%), $2.88 billion in FY2022 (+20.7%) and $2.39 billion in FY2021 (+71.8%).
- Quarterly Total Liabilities has ranged from $2.05 billion in Q2 2026 to $3.08 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for 11 consecutive quarters, with an average decline of 12.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 94.4% in Q1 2022, against a decline of 18.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.05 billion (Q2 2026), $2.14 billion (Q1 2026) and $2.11 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | Blue Ridge Bankshares | 363.21 Mn | 363.21 Mn | - | 2.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.08 Bn |
| Jun 30, 2026 | 2.05 Bn |
| Mar 31, 2026 | 2.14 Bn |
| Dec 31, 2025 | 2.11 Bn |
| Sep 30, 2025 | 2.14 Bn |
| Jun 30, 2025 | 2.21 Bn |
| Mar 31, 2025 | 2.35 Bn |
| Dec 31, 2024 | 2.41 Bn |
| Sep 30, 2024 | 2.61 Bn |
| Jun 30, 2024 | 2.61 Bn |
| Mar 31, 2024 | 2.90 Bn |
| Dec 31, 2023 | 2.93 Bn |
| Sep 30, 2023 | 3.08 Bn |
| Jun 30, 2023 | 2.98 Bn |
| Mar 31, 2023 | 3.08 Bn |
| Dec 31, 2022 | 2.88 Bn |
| Sep 30, 2022 | 2.63 Bn |
| Jun 30, 2022 | 2.54 Bn |
| Mar 31, 2022 | 2.45 Bn |
| Dec 31, 2021 | 2.39 Bn |
Blue Ridge Bankshares Total Liabilities 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=total-liabilities&ticker=BRBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BRBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=BRBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();