Prologis (PLD) Price to Earnings (2010 - 2026)
Prologis' Price to Earnings was 33.33 in Q2 2026, up 17.6% from 28.34 a year earlier.
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Analysis
Prologis (PLD) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Prologis came in at 35.70, up 35.9% from FY2024.
- In earlier years, Price to Earnings was 26.28 in FY2024 (-34.9%), 40.36 in FY2023 (+30.3%), 30.98 in FY2022 (-27.0%) and 42.46 in FY2021 (-15.1%).
- Quarterly Price to Earnings has moved between 18.71 (Q3 2022) and 47.15 (Q3 2021) over five years.
- Compared with a year earlier, Price to Earnings was higher in three of the last seven quarters, with an average decline of 4.8%.
- The best year-over-year quarter for Price to Earnings over five years was Q3 2023 (growth of 84.1%); the worst was Q3 2022 (a decline of 60.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Essex Property Trust | 17.26 Bn | 17.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.33 |
| Dec 31, 2025 | 35.70 |
| Sep 30, 2025 | 33.22 |
| Jun 30, 2025 | 28.34 |
| Mar 31, 2025 | 27.79 |
| Dec 31, 2024 | 26.28 |
| Sep 30, 2024 | 38.00 |
| Jun 30, 2024 | 36.88 |
| Mar 31, 2024 | 37.98 |
| Dec 31, 2023 | 40.36 |
| Sep 30, 2023 | 34.45 |
| Jun 30, 2023 | 34.57 |
| Mar 31, 2023 | 43.11 |
| Dec 31, 2022 | 30.98 |
| Sep 30, 2022 | 18.71 |
| Jun 30, 2022 | 23.36 |
| Mar 31, 2022 | 32.16 |
| Dec 31, 2021 | 42.46 |
| Sep 30, 2021 | 47.15 |
| Jun 30, 2021 | 57.23 |
API Access
Prologis Price to Earnings 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-earnings&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PLD", "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-earnings&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();