Peoples Bancorp (PEBO) Other Non-Current Liabilities (2010 - 2026)
Peoples Bancorp's Other Non-Current Liabilities came in at $102.34 million for Q2 2026, down 15.3% from $120.8 million a year earlier but up 10.9% from the prior quarter.
Peoples Bancorp (PEBO) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Peoples Bancorp's Other Non-Current Liabilities was $98.38 million, down 18.6% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $120.91 million in FY2024 (-9.9%), $134.19 million in FY2023 (+29.3%), $103.8 million in FY2022 (+15.4%) and $89.99 million in FY2021 (-0.9%).
- The five-year range for quarterly Other Non-Current Liabilities is $82.11 million (Q1 2022) to $153.05 million (Q3 2023).
- Year-over-year, Other Non-Current Liabilities has declined for nine consecutive quarters, with an average decline of 15.8% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q1 2023 (growth of 42.7%), and the weakest in Q3 2024 (a decline of 21.9%).
- Business Quant data shows PEBO's Other Non-Current Liabilities at $92.32 million (Q1 2026), $98.38 million (Q4 2025) and $98.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 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 | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Peoples Bancorp | 1.32 Bn | 565.85 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.34 Mn |
| Mar 31, 2026 | 92.32 Mn |
| Dec 31, 2025 | 98.38 Mn |
| Sep 30, 2025 | 98.10 Mn |
| Jun 30, 2025 | 120.80 Mn |
| Mar 31, 2025 | 117.20 Mn |
| Dec 31, 2024 | 120.91 Mn |
| Sep 30, 2024 | 119.57 Mn |
| Jun 30, 2024 | 133.86 Mn |
| Mar 31, 2024 | 132.44 Mn |
| Dec 31, 2023 | 134.19 Mn |
| Sep 30, 2023 | 153.05 Mn |
| Jun 30, 2023 | 134.35 Mn |
| Mar 31, 2023 | 117.15 Mn |
| Dec 31, 2022 | 103.80 Mn |
| Sep 30, 2022 | 141.92 Mn |
| Jun 30, 2022 | 112.11 Mn |
| Mar 31, 2022 | 82.11 Mn |
| Dec 31, 2021 | 89.99 Mn |
| Jun 30, 2021 | 87.93 Mn |
Peoples Bancorp Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();