Piedmont Realty Trust (PDM) Price to FCF (2010 - 2026)
Piedmont Realty Trust's Price to FCF was 36.13 in Q2 2026, down 60.1% from the prior quarter.
Analysis
Piedmont Realty Trust (PDM) Price to FCF (2010 - 2026) Analysis & Trends
For FY2023, Price to FCF at Piedmont Realty Trust came in at 16.94, up 40.4% from FY2022.
- In earlier years, Price to FCF was 12.06 in FY2022 (-36.2%), 18.92 in FY2021 (-24.0%), 24.90 in FY2020 (-6.6%) and 26.66 in FY2019 (+62.1%).
- The Q2 2026 figure marks the lowest quarterly Price to FCF since Q1 2024.
- The best year-over-year quarter for Price to FCF over five years was Q2 2024 (growth of 292.9%); the worst was Q1 2023 (a decline of 50.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - |
| 10 | Piedmont Realty Trust | 1.10 Bn | 1.10 Bn | 88.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.13 |
| Mar 31, 2026 | 90.56 |
| Jun 30, 2024 | 41.68 |
| Mar 31, 2024 | 34.80 |
| Dec 31, 2023 | 16.94 |
| Sep 30, 2023 | 9.59 |
| Jun 30, 2023 | 10.61 |
| Mar 31, 2023 | 9.94 |
| Dec 31, 2022 | 12.06 |
| Sep 30, 2022 | 12.24 |
| Jun 30, 2022 | 15.17 |
| Mar 31, 2022 | 20.07 |
| Dec 31, 2021 | 18.92 |
| Sep 30, 2021 | 20.91 |
| Jun 30, 2021 | 25.32 |
| Mar 31, 2021 | 24.68 |
| Dec 31, 2020 | 24.90 |
| Sep 30, 2020 | 28.10 |
| Jun 30, 2020 | 25.88 |
| Dec 31, 2019 | 26.66 |
API Access
Piedmont Realty Trust Price to FCF 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=price-to-fcf&ticker=PDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=PDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();