Piedmont Realty Trust (PDM) General and Administrative (2009 - 2026)
Piedmont Realty Trust's Selling, General & Administrative was $9.06 million in Q3 2026, up 19.1% from $7.61 million a year earlier and up 10.0% from the prior quarter.
Piedmont Realty Trust (PDM) General and Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Piedmont Realty Trust's Selling, General & Administrative was $32.66 million through Sep 30, 2026, down 8.7% year-over-year; for FY2025, it came in at $30.59 million, down 13.7% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $35.42 million in FY2024 (+21.4%), $29.19 million in FY2023 (+0.2%), $29.13 million in FY2022 (-3.7%) and $30.25 million in FY2021 (+10.2%).
- The Q3 2026 figure marks the highest quarterly Selling, General & Administrative since Q4 2024.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 8.6% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2024 (growth of 76.3%); the worst was Q4 2025 (a decline of 41.1%).
- Per Business Quant data, PDM's Selling, General & Administrative in the three quarters before Q3 2026 was $8.24 million (Q2 2026), $7.91 million (Q1 2026) and $7.46 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 | - |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.06 Mn |
| Jun 30, 2026 | 8.24 Mn |
| Mar 31, 2026 | 7.91 Mn |
| Dec 31, 2025 | 7.46 Mn |
| Sep 30, 2025 | 7.61 Mn |
| Jun 30, 2025 | 7.96 Mn |
| Mar 31, 2025 | 7.56 Mn |
| Dec 31, 2024 | 12.65 Mn |
| Sep 30, 2024 | 6.81 Mn |
| Jun 30, 2024 | 8.35 Mn |
| Mar 31, 2024 | 7.61 Mn |
| Dec 31, 2023 | 7.18 Mn |
| Sep 30, 2023 | 7.04 Mn |
| Jun 30, 2023 | 7.28 Mn |
| Mar 31, 2023 | 7.69 Mn |
| Dec 31, 2022 | 7.92 Mn |
| Sep 30, 2022 | 6.59 Mn |
| Jun 30, 2022 | 7.03 Mn |
| Mar 31, 2022 | 7.60 Mn |
| Dec 31, 2021 | 7.84 Mn |
Piedmont Realty Trust General and Administrative 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=general-and-administrative&ticker=PDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=PDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();