Piedmont Realty Trust (PDM) Depreciation and Depletion (2009 - 2026)
Piedmont Realty Trust (PDM) reported Depreciation and Depletion of $46.12 million for Q3 2026, up 9.5% from $42.13 million a year earlier and up 2.9% from the prior quarter.
Piedmont Realty Trust (PDM) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Piedmont Realty Trust's Depreciation and Depletion came in at $177.84 million, up 8.6% year-over-year; for FY2025, it was $166.53 million, up 6.2% from FY2024.
- Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $156.83 million in FY2024 (+5.6%), $148.46 million in FY2023 (+11.1%), $133.62 million in FY2022 (+10.8%) and $120.62 million in FY2021 (+9.1%).
- The Q3 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q3 2010.
- Year over year, Depreciation and Depletion has now increased in each of the last 27 quarters, with growth averaging 7.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 2.2% in Q3 2024 to 17.3% in Q4 2021.
- Per Business Quant data, the three quarters before Q3 2026 came in at $44.83 million (Q2 2026), $44.03 million (Q1 2026) and $42.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | - |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | - |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | - |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 312.96 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | - |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | - |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | - |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | 897.98 Mn |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | - |
| 10 | Piedmont Realty Trust | 1.23 Bn | 1.21 Bn | 91.21 Mn | 46.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.12 Mn |
| Jun 30, 2026 | 44.83 Mn |
| Mar 31, 2026 | 44.03 Mn |
| Dec 31, 2025 | 42.86 Mn |
| Sep 30, 2025 | 42.13 Mn |
| Jun 30, 2025 | 40.65 Mn |
| Mar 31, 2025 | 40.89 Mn |
| Dec 31, 2024 | 40.15 Mn |
| Sep 30, 2024 | 39.00 Mn |
| Jun 30, 2024 | 38.81 Mn |
| Mar 31, 2024 | 38.87 Mn |
| Dec 31, 2023 | 38.04 Mn |
| Sep 30, 2023 | 38.15 Mn |
| Jun 30, 2023 | 36.48 Mn |
| Mar 31, 2023 | 35.80 Mn |
| Dec 31, 2022 | 34.79 Mn |
| Sep 30, 2022 | 34.94 Mn |
| Jun 30, 2022 | 32.37 Mn |
| Mar 31, 2022 | 31.52 Mn |
| Dec 31, 2021 | 31.95 Mn |
Piedmont Realty Trust Depreciation and Depletion 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=depreciation-and-depletion&ticker=PDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "PDM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=PDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();