Piedmont Realty Trust (PDM) EV to FCF (2010 - 2026)
Piedmont Realty Trust's (PDM) EV to FCF was 35.65 for Q2 2026, down 60.6% from the prior quarter.
Analysis
Piedmont Realty Trust (PDM) EV to FCF (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Piedmont Realty Trust's EV to FCF came in at 35.46; for FY2023, it was 16.95, up 42.4% from FY2022.
- By year, EV to FCF came in at 11.90 in FY2022 (-36.9%), 18.87 in FY2021 (-24.0%), 24.83 in FY2020 (-6.4%) and 26.55 in FY2019 (+61.6%).
- The Q2 2026 figure ranks as the lowest quarterly EV to FCF since Q2 2024.
- The high point for year-over-year EV to FCF in five years was Q1 2024 (growth of 329.7%); the low point was Q1 2023 (a decline of 59.6%).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.65 |
| Mar 31, 2026 | 90.47 |
| Jun 30, 2024 | 35.33 |
| Mar 31, 2024 | 34.72 |
| Dec 31, 2023 | 16.95 |
| Sep 30, 2023 | 9.54 |
| Jun 30, 2023 | 10.57 |
| Mar 31, 2023 | 8.08 |
| Dec 31, 2022 | 11.90 |
| Sep 30, 2022 | 12.15 |
| Jun 30, 2022 | 15.12 |
| Mar 31, 2022 | 20.02 |
| Dec 31, 2021 | 18.87 |
| Sep 30, 2021 | 20.85 |
| Jun 30, 2021 | 25.25 |
| Mar 31, 2021 | 24.58 |
| Dec 31, 2020 | 24.83 |
| Sep 30, 2020 | 27.74 |
| Jun 30, 2020 | 25.45 |
| Dec 31, 2019 | 26.55 |
API Access
Piedmont Realty Trust EV 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=ev-to-fcf&ticker=PDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-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=ev-to-fcf&ticker=PDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();