RBB Bancorp (RBB) Provision for Credit Losses (2016 - 2026)
RBB Bancorp (RBB) recorded Provision for Credit Losses of $77,000 in Q2 2026, down 96.8% from $2.39 million a year earlier.
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Analysis
RBB Bancorp (RBB) Provision for Credit Losses (2016 - 2026) Analysis & Trends
On a TTM basis, RBB Bancorp's Provision for Credit Losses came in at $1.25 million as of Jun 30, 2026, down 93.2% year-over-year; for FY2025, it came in at $10.6 million, up 7.6% from FY2024.
- Annual Provision for Credit Losses has a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Across earlier years, Provision for Credit Losses came in at $9.86 million in FY2024 (+154.2%), $3.88 million in FY2023 (-35.7%), $6.03 million in FY2022 (+52.2%) and $3.96 million in FY2021 (-66.5%).
- Quarterly Provision for Credit Losses has ranged from -$418,000 in Q4 2023 to $6.85 million in Q1 2025 over the past five years.
- On a year-over-year basis, Provision for Credit Losses rose in two of the last five quarters, with growth averaging 27.2%.
- Peak year-over-year performance for Provision for Credit Losses in the last five years was growth of 488.0% in Q1 2023, against a decline of 96.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -$200,000 (Q1 2026), $620,000 (Q4 2025) and $750,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | RBB Bancorp | 439.02 Mn | -443.44 Mn | - | 500,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 500,000.00 |
| Jun 30, 2026 | 77,000.00 |
| Mar 31, 2026 | -200,000.00 |
| Dec 31, 2025 | 620,000.00 |
| Sep 30, 2025 | 750,000.00 |
| Jun 30, 2025 | 2.39 Mn |
| Mar 31, 2025 | 6.85 Mn |
| Dec 31, 2024 | 6.05 Mn |
| Sep 30, 2024 | 3.15 Mn |
| Jun 30, 2024 | 604,000.00 |
| Mar 31, 2024 | -31,000.00 |
| Dec 31, 2023 | -418,000.00 |
| Sep 30, 2023 | 1.54 Mn |
| Jun 30, 2023 | 601,000.00 |
| Mar 31, 2023 | 2.15 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 1.77 Mn |
| Jun 30, 2022 | 915,000.00 |
| Mar 31, 2022 | 366,000.00 |
| Dec 31, 2021 | 635,000.00 |
API Access
RBB Bancorp Provision for Credit Losses 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=provision-for-credit-losses&ticker=RBB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "RBB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-credit-losses&ticker=RBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();