Bar Harbor Bankshares (BHB) Loans - Loss Allowance (2010 - 2026)
Bar Harbor Bankshares' Loans - Loss Allowance was $31.76 million in Q3 2026, down 6.4% from $33.94 million a year earlier and down 1.5% from the prior quarter.
Bar Harbor Bankshares (BHB) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, Loans - Loss Allowance at Bar Harbor Bankshares came in at $34.05 million, up 18.5% from FY2024.
- Loans - Loss Allowance has now increased for 13 consecutive years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In earlier years, Loans - Loss Allowance was $28.74 million in FY2024 (+2.1%), $28.14 million in FY2023 (+8.8%), $25.86 million in FY2022 (+13.8%) and $22.72 million in FY2021 (+19.1%).
- The Q3 2026 figure marks the lowest quarterly Loans - Loss Allowance since Q2 2025.
- Compared with a year earlier, Loans - Loss Allowance was higher in seven of the last eight quarters, with growth averaging 8.0%.
- The best year-over-year quarter for Loans - Loss Allowance over five years was Q1 2026 (growth of 19.9%); the worst was Q3 2026 (a decline of 6.4%).
- Per Business Quant data, BHB's Loans - Loss Allowance in the three quarters before Q3 2026 was $32.23 million (Q2 2026), $34.32 million (Q1 2026) and $34.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 26.27 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 13.01 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 13.82 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 7.72 Bn |
| 10 | Bar Harbor Bankshares | 698.10 Mn | 293.94 Mn | - | 32.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.23 Mn |
| Mar 31, 2026 | 34.32 Mn |
| Dec 31, 2025 | 34.05 Mn |
| Sep 30, 2025 | 33.94 Mn |
| Jun 30, 2025 | 28.89 Mn |
| Mar 31, 2025 | 28.61 Mn |
| Dec 31, 2024 | 28.74 Mn |
| Sep 30, 2024 | 29.02 Mn |
| Jun 30, 2024 | 28.86 Mn |
| Mar 31, 2024 | 28.36 Mn |
| Dec 31, 2023 | 28.14 Mn |
| Sep 30, 2023 | 28.01 Mn |
| Jun 30, 2023 | 27.36 Mn |
| Mar 31, 2023 | 26.61 Mn |
| Dec 31, 2022 | 25.86 Mn |
| Sep 30, 2022 | 25.02 Mn |
| Jun 30, 2022 | 23.76 Mn |
| Mar 31, 2022 | 23.19 Mn |
| Dec 31, 2021 | 22.72 Mn |
| Sep 30, 2021 | 22.45 Mn |
Bar Harbor Bankshares Loans - Loss Allowance 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=loans-loss-allowance&ticker=BHB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "ticker": "BHB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=loans-loss-allowance&ticker=BHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();