Peoples Bancorp (PEBO) Retained Earnings (2010 - 2026)
Peoples Bancorp (PEBO) recorded Retained Earnings of $463.95 million in Q2 2026, up 14.2% from $406.25 million a year earlier and up 2.8% from the prior quarter.
Peoples Bancorp (PEBO) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Peoples Bancorp reported Retained Earnings of $436.75 million, up 12.5% from FY2024.
- Annual Retained Earnings has increased for 15 straight years, with a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $388.11 million in FY2024 (+18.6%), $327.24 million in FY2023 (+23.1%), $265.94 million in FY2022 (+28.4%) and $207.08 million in FY2021 (+8.6%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased for 15 consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 8.6% (Q4 2021) to 28.4% (Q4 2022).
- Per Business Quant, the preceding three quarters came in at $451.11 million (Q1 2026), $436.75 million (Q4 2025) and $421.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Peoples Bancorp | 1.32 Bn | 565.85 Mn | - | 463.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 463.95 Mn |
| Mar 31, 2026 | 451.11 Mn |
| Dec 31, 2025 | 436.75 Mn |
| Sep 30, 2025 | 421.07 Mn |
| Jun 30, 2025 | 406.25 Mn |
| Mar 31, 2025 | 398.22 Mn |
| Dec 31, 2024 | 388.11 Mn |
| Sep 30, 2024 | 375.40 Mn |
| Jun 30, 2024 | 357.89 Mn |
| Mar 31, 2024 | 343.08 Mn |
| Dec 31, 2023 | 327.24 Mn |
| Sep 30, 2023 | 307.53 Mn |
| Jun 30, 2023 | 289.45 Mn |
| Mar 31, 2023 | 281.77 Mn |
| Dec 31, 2022 | 265.94 Mn |
| Sep 30, 2022 | 249.83 Mn |
| Jun 30, 2022 | 234.61 Mn |
| Mar 31, 2022 | 220.48 Mn |
| Dec 31, 2021 | 207.08 Mn |
| Jun 30, 2021 | 202.36 Mn |
Peoples Bancorp Retained Earnings 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=retained-earnings&ticker=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();