Banc Of California (BANC) Provision for Losses (2009 - 2026)
Banc Of California's Provision for Losses came in at $161.78 million for Q2 2026, up 313.8% from $39.1 million a year earlier.
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Analysis
Banc Of California (BANC) Provision for Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Banc Of California reported Provision for Losses of $193.78 million, up 176.0% year-over-year; for FY2025, it came in at $70.6 million, up 64.9% from FY2024.
- Provision for Losses carries a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Going back by year, Provision for Losses was $42.8 million in FY2024 (-17.7%), $52 million in FY2023 (+112.2%), $24.5 million in FY2022 and -$162 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Provision for Losses in data going back to Q3 2010.
- Year-over-year, Provision for Losses increased in five of the last eight quarters, with growth averaging 72.5%.
- The fastest year-over-year change in Provision for Losses over five years came in Q2 2024 (growth of 478.9%), and the weakest in Q4 2024 (a decline of 72.8%).
- Business Quant data shows BANC's Provision for Losses at $9.8 million (Q1 2026), $12.5 million (Q4 2025) and $9.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 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 | Banc Of California | 2.84 Bn | -6.67 Bn | - | 10.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.40 Mn |
| Jun 30, 2026 | 161.78 Mn |
| Mar 31, 2026 | 9.80 Mn |
| Dec 31, 2025 | 12.50 Mn |
| Sep 30, 2025 | 9.70 Mn |
| Jun 30, 2025 | 39.10 Mn |
| Mar 31, 2025 | 9.30 Mn |
| Dec 31, 2024 | 12.80 Mn |
| Sep 30, 2024 | 9.00 Mn |
| Jun 30, 2024 | 11.00 Mn |
| Mar 31, 2024 | 10.00 Mn |
| Dec 31, 2023 | 47.00 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 1.90 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Mar 31, 2022 | -31.54 Mn |
| Dec 31, 2021 | 11.26 Mn |
| Sep 30, 2021 | -1.15 Mn |
| Jun 30, 2021 | -2.15 Mn |
| Mar 31, 2021 | -1.11 Mn |
API Access
Banc Of California Provision for 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-losses&ticker=BANC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "BANC", "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-losses&ticker=BANC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();