Peoples Bancorp (PEBO) Tax Provisions (2010 - 2026)
Peoples Bancorp (PEBO) posted Tax Provisions of $7.69 million for Q2 2026, up 23.1% from $6.24 million a year earlier but down 7.8% from the prior quarter.
Peoples Bancorp (PEBO) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Peoples Bancorp was $30.77 million, up 1.2% year-over-year; for FY2025, it came in at $28.03 million, down 13.1% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 28.9% (FY2020 to FY2025).
- In prior years, Peoples Bancorp's Tax Provisions was $32.26 million in FY2024 (+1.6%), $31.76 million in FY2023 (+16.1%), $27.35 million in FY2022 (+190.5%) and $9.42 million in FY2021 (+19.5%).
- Quarterly Tax Provisions has run from a low of $5.42 million in Q4 2021 to a high of $9.7 million in Q4 2023 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last eight quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2022, with growth of 186.4%; the weakest was Q4 2025, with a decline of 21.5%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $8.34 million (Q1 2026), $6.22 million (Q4 2025) and $8.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Peoples Bancorp | 1.32 Bn | 565.85 Mn | - | 7.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.69 Mn |
| Mar 31, 2026 | 8.34 Mn |
| Dec 31, 2025 | 6.22 Mn |
| Sep 30, 2025 | 8.53 Mn |
| Jun 30, 2025 | 6.24 Mn |
| Mar 31, 2025 | 7.04 Mn |
| Dec 31, 2024 | 7.93 Mn |
| Sep 30, 2024 | 9.20 Mn |
| Jun 30, 2024 | 6.87 Mn |
| Mar 31, 2024 | 8.27 Mn |
| Dec 31, 2023 | 9.70 Mn |
| Sep 30, 2023 | 8.85 Mn |
| Jun 30, 2023 | 6.17 Mn |
| Mar 31, 2023 | 7.05 Mn |
| Dec 31, 2022 | 7.13 Mn |
| Sep 30, 2022 | 7.41 Mn |
| Jun 30, 2022 | 6.85 Mn |
| Mar 31, 2022 | 5.96 Mn |
| Dec 31, 2021 | 5.42 Mn |
| Jun 30, 2021 | 2.39 Mn |
Peoples Bancorp Tax Provisions 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=tax-provisions&ticker=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();