Piedmont Realty Trust (PDM) Other Operating Expenses (2010 - 2026)
Piedmont Realty Trust's Other Operating Expenses was $70.47 million in Q2 2026, up 0.1% from $70.4 million a year earlier but down 2.9% from the prior quarter.
Piedmont Realty Trust (PDM) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Piedmont Realty Trust's Other Operating Expenses was $287.75 million through Jun 30, 2026, down 6.8% year-over-year; for FY2025, it was $288.43 million, down 14.6% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $337.66 million in FY2024 (-4.2%), $352.29 million in FY2023 (+2.7%), $342.98 million in FY2022 (+1.5%) and $337.92 million in FY2021 (+9.6%).
- Quarterly Other Operating Expenses has moved between $70.4 million (Q2 2025) and $119.1 million (Q4 2021) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 10.6%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 53.4%); the worst was Q1 2025 (a decline of 23.6%).
- Per Business Quant data, PDM's Other Operating Expenses in the three quarters before Q2 2026 was $72.57 million (Q1 2026), $73.63 million (Q4 2025) and $71.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Piedmont Realty Trust | 1.12 Bn | 1.12 Bn | 88.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.47 Mn |
| Mar 31, 2026 | 72.57 Mn |
| Dec 31, 2025 | 73.63 Mn |
| Sep 30, 2025 | 71.08 Mn |
| Jun 30, 2025 | 70.40 Mn |
| Mar 31, 2025 | 73.34 Mn |
| Dec 31, 2024 | 90.43 Mn |
| Sep 30, 2024 | 74.58 Mn |
| Jun 30, 2024 | 76.66 Mn |
| Mar 31, 2024 | 96.00 Mn |
| Dec 31, 2023 | 101.81 Mn |
| Sep 30, 2023 | 90.96 Mn |
| Jun 30, 2023 | 79.70 Mn |
| Mar 31, 2023 | 79.82 Mn |
| Dec 31, 2022 | 109.66 Mn |
| Sep 30, 2022 | 82.33 Mn |
| Jun 30, 2022 | 75.11 Mn |
| Mar 31, 2022 | 75.87 Mn |
| Dec 31, 2021 | 119.10 Mn |
| Sep 30, 2021 | 72.14 Mn |
Piedmont Realty Trust Other Operating Expenses 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-operating-expenses&ticker=PDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();