Prologis (PLD) Property Operating Expenses (2009 - 2026)
Prologis (PLD) posted Property Operating Expenses of $511.72 million for Q3 2026, up 5.6% from $484.64 million a year earlier but down 3.6% from the prior quarter.
Prologis (PLD) Property Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Property Operating Expenses at Prologis was $2.07 billion, up 8.8% year-over-year; for FY2025, it came in at $1.96 billion, up 11.3% from FY2024.
- Annual Property Operating Expenses has increased for 11 consecutive years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In prior years, Prologis' Property Operating Expenses was $1.77 billion in FY2024 (+8.7%), $1.62 billion in FY2023 (+34.8%), $1.21 billion in FY2022 (+15.8%) and $1.04 billion in FY2021 (+9.4%).
- Quarterly Property Operating Expenses has run from a low of $261.69 million in Q4 2021 to a high of $530.86 million in Q2 2026 over five years.
- On a year-over-year basis, Property Operating Expenses has increased in each of the last 18 quarters, with growth averaging 9.2% over the last eight quarters.
- The strongest year-over-year quarter for Property Operating Expenses in the past five years was Q1 2023, with growth of 49.7%; the weakest was Q1 2022, with a decline of 0.8%.
- According to Business Quant data, Property Operating Expenses for the three prior quarters was $530.86 million (Q2 2026), $520.28 million (Q1 2026) and $503.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | - |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 511.72 Mn |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 171.44 Mn |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | 333.19 Mn |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | 122.39 Mn |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | 142.75 Mn |
| 10 | Essex Property Trust | 17.73 Bn | 17.49 Bn | - | 95.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 511.72 Mn |
| Jun 30, 2026 | 530.86 Mn |
| Mar 31, 2026 | 520.28 Mn |
| Dec 31, 2025 | 503.22 Mn |
| Sep 30, 2025 | 484.64 Mn |
| Jun 30, 2025 | 487.96 Mn |
| Mar 31, 2025 | 488.32 Mn |
| Dec 31, 2024 | 438.47 Mn |
| Sep 30, 2024 | 427.43 Mn |
| Jun 30, 2024 | 445.24 Mn |
| Mar 31, 2024 | 454.26 Mn |
| Dec 31, 2023 | 408.23 Mn |
| Sep 30, 2023 | 416.08 Mn |
| Jun 30, 2023 | 387.94 Mn |
| Mar 31, 2023 | 412.55 Mn |
| Dec 31, 2022 | 374.89 Mn |
| Sep 30, 2022 | 284.71 Mn |
| Jun 30, 2022 | 270.47 Mn |
| Mar 31, 2022 | 275.67 Mn |
| Dec 31, 2021 | 261.69 Mn |
Prologis Property Operating Expenses 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=property-operating-expenses&ticker=PLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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=property-operating-expenses&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();