Prologis (PLD) Price to Book (2009 - 2026)
Prologis' (PLD) Price to Book came in at 2.17 for Q2 2026, up 27.8% from 1.70 a year earlier.
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Analysis
Prologis (PLD) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Prologis' Price to Book stood at 2.05, up 23.0% from FY2024.
- In prior years, Prologis' Price to Book was 1.67 in FY2024 (-21.6%), 2.13 in FY2023 (+18.5%), 1.80 in FY2022 (-45.5%) and 3.30 in FY2021 (+62.7%).
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q2 2022.
- On a year-over-year basis, Price to Book increased in three of the last seven quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q4 2021, with growth of 62.7%; the weakest was Q4 2022, with a decline of 45.5%.
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 | Invitation Homes | 15.55 Bn | 15.59 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 |
| Dec 31, 2025 | 2.05 |
| Sep 30, 2025 | 1.86 |
| Jun 30, 2025 | 1.70 |
| Mar 31, 2025 | 1.79 |
| Dec 31, 2024 | 1.67 |
| Sep 30, 2024 | 2.03 |
| Jun 30, 2024 | 1.80 |
| Mar 31, 2024 | 2.09 |
| Dec 31, 2023 | 2.13 |
| Sep 30, 2023 | 1.78 |
| Jun 30, 2023 | 1.95 |
| Mar 31, 2023 | 2.01 |
| Dec 31, 2022 | 1.80 |
| Sep 30, 2022 | 1.90 |
| Jun 30, 2022 | 2.24 |
| Mar 31, 2022 | 3.11 |
| Dec 31, 2021 | 3.30 |
| Sep 30, 2021 | 2.52 |
| Jun 30, 2021 | 2.42 |
API Access
Prologis Price to Book 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-book&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();