Avidbank Holdings (AVBH) Provision for Losses (2024 - 2026)
Avidbank Holdings (AVBH) recorded Provision for Losses of $2.79 million in Q2 2026, up 201.5% from $925,000 a year earlier and up 93.0% from the prior quarter.
Avidbank Holdings (AVBH) Provision for Losses (2024 - 2026) Analysis & Trends
On a TTM basis, Avidbank Holdings' Provision for Losses came in at $8.43 million as of Jun 30, 2026, up 394.5% year-over-year; for FY2025, it came in at $5.12 million, up 25.0% from FY2024.
- Across earlier years, Provision for Losses came in at $4.1 million in FY2024.
- Quarterly Provision for Losses has ranged from $779,000 in Q4 2024 to $3 million in Q2 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.45 million (Q1 2026), $2.84 million (Q4 2025) and $1.36 million (Q3 2025).
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 | Avidbank Holdings | 381.21 Mn | 381.21 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Mn |
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 2.84 Mn |
| Sep 30, 2025 | 1.36 Mn |
| Jun 30, 2025 | 925,000.00 |
| Dec 31, 2024 | 779,000.00 |
| Jun 30, 2024 | 3.00 Mn |
Avidbank Holdings 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=AVBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "AVBH", "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=AVBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();