Peoples Bancorp (PEBO) Amortization - Intangibles (2009 - 2026)
Peoples Bancorp (PEBO) posted Amortization - Intangibles of $1.7 million for Q3 2026, down 23.2% from $2.21 million a year earlier and unchanged from the prior quarter.
Peoples Bancorp (PEBO) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Amortization - Intangibles at Peoples Bancorp was $7.3 million, down 22.6% year-over-year; for FY2025, it came in at $8.85 million, down 20.8% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- In prior years, Peoples Bancorp's Amortization - Intangibles was $11.16 million in FY2024 (-0.5%), $11.22 million in FY2023 (+44.6%), $7.76 million in FY2022 (+62.6%) and $4.78 million in FY2021 (+48.2%).
- Quarterly Amortization - Intangibles has run from a low of $1.51 million in Q4 2021 to a high of $3.28 million in Q3 2023 over five years.
- On a year-over-year basis, Amortization - Intangibles has declined in each of the last ten quarters, with an average decline of 20.9% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q1 2022, with growth of 175.5%; the weakest was Q1 2026, with a decline of 23.3%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $1.7 million (Q2 2026), $1.7 million (Q1 2026) and $2.21 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Peoples Bancorp | 1.39 Bn | 444.61 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.70 Mn |
| Jun 30, 2026 | 1.70 Mn |
| Mar 31, 2026 | 1.70 Mn |
| Dec 31, 2025 | 2.21 Mn |
| Sep 30, 2025 | 2.21 Mn |
| Jun 30, 2025 | 2.21 Mn |
| Mar 31, 2025 | 2.21 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 2.79 Mn |
| Jun 30, 2024 | 2.79 Mn |
| Mar 31, 2024 | 2.79 Mn |
| Dec 31, 2023 | 3.27 Mn |
| Sep 30, 2023 | 3.28 Mn |
| Jun 30, 2023 | 2.80 Mn |
| Mar 31, 2023 | 1.87 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 2.02 Mn |
| Jun 30, 2022 | 2.03 Mn |
| Mar 31, 2022 | 1.71 Mn |
| Dec 31, 2021 | 1.51 Mn |
Peoples Bancorp Amortization - Intangibles 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=amortization-intangibles&ticker=PEBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PEBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();