Peoples Bancorp (PEBO) Loans - Loss Allowance (2010 - 2026)
Peoples Bancorp (PEBO) posted Loans - Loss Allowance of $78.1 million for Q2 2026, up 4.6% from $74.68 million a year earlier but down 0.4% from the prior quarter.
Peoples Bancorp (PEBO) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, Peoples Bancorp's Loans - Loss Allowance came in at $75.7 million, up 19.5% from FY2024.
- Annual Loans - Loss Allowance has increased for three consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior years, Peoples Bancorp's Loans - Loss Allowance was $63.35 million in FY2024 (+2.2%), $62.01 million in FY2023 (+16.6%), $53.16 million in FY2022 (-16.9%) and $63.97 million in FY2021 (+27.0%).
- Quarterly Loans - Loss Allowance has run from a low of $52.35 million in Q2 2022 to a high of $78.39 million in Q1 2026 over five years.
- On a year-over-year basis, Loans - Loss Allowance has increased in each of the last 13 quarters, with growth averaging 9.8% over the last eight quarters.
- The strongest year-over-year quarter for Loans - Loss Allowance in the past five years was Q4 2021, with growth of 27.0%; the weakest was Q4 2022, with a decline of 16.9%.
- According to Business Quant data, Loans - Loss Allowance for the three prior quarters was $78.39 million (Q1 2026), $75.7 million (Q4 2025) and $74.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Peoples Bancorp | 1.32 Bn | 565.85 Mn | - | 78.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.10 Mn |
| Mar 31, 2026 | 78.39 Mn |
| Dec 31, 2025 | 75.70 Mn |
| Sep 30, 2025 | 74.90 Mn |
| Jun 30, 2025 | 74.68 Mn |
| Mar 31, 2025 | 65.23 Mn |
| Dec 31, 2024 | 63.35 Mn |
| Sep 30, 2024 | 66.64 Mn |
| Jun 30, 2024 | 66.25 Mn |
| Mar 31, 2024 | 64.82 Mn |
| Dec 31, 2023 | 62.01 Mn |
| Sep 30, 2023 | 62.92 Mn |
| Jun 30, 2023 | 61.21 Mn |
| Mar 31, 2023 | 53.30 Mn |
| Dec 31, 2022 | 53.16 Mn |
| Sep 30, 2022 | 52.87 Mn |
| Jun 30, 2022 | 52.35 Mn |
| Mar 31, 2022 | 54.77 Mn |
| Dec 31, 2021 | 63.97 Mn |
| Jun 30, 2021 | 47.94 Mn |
Peoples Bancorp 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=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "ticker": "PEBO", "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=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();