Avidia Bancorp (AVBC) Provision for Losses (2024 - 2026)
Avidia Bancorp's Provision for Losses was $745,000 in Q2 2026, down 51.1% from $1.52 million a year earlier.
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Analysis
Avidia Bancorp (AVBC) Provision for Losses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Avidia Bancorp's Provision for Losses was $5.19 million through Jun 30, 2026, up 38.7% year-over-year; for FY2025, it came in at $21.75 million, up 934.1% from FY2024.
- In earlier years, Provision for Losses was $2.1 million in FY2024.
- The Q2 2026 figure marks the lowest quarterly Provision for Losses since Q1 2025.
- Compared with a year earlier, Provision for Losses was higher in 1 of the last four quarters, with growth averaging 217.6%.
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 | Avidia Bancorp | 458.54 Mn | 458.54 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 745,000.00 |
| Mar 31, 2026 | 859,000.00 |
| Dec 31, 2025 | 1.44 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 1.52 Mn |
| Mar 31, 2025 | 17.31 Mn |
| Dec 31, 2024 | 138,000.00 |
| Sep 30, 2024 | 1.79 Mn |
| Jun 30, 2024 | -130,000.00 |
| Mar 31, 2024 | 310,000.00 |
API Access
Avidia Bancorp 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=AVBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "AVBC", "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=AVBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();