Prologis (PLD) Capital Expenditures (2009 - 2026)
Prologis' Capital Expenditures was $822.55 million in Q4 2025, down 0.8% from $829.34 million a year earlier but up 31.1% from the prior quarter.
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Analysis
Prologis (PLD) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2025, Capital Expenditures at Prologis came in at $2.78 billion, down 13.3% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $3.21 billion in FY2024 (-5.7%), $3.4 billion in FY2023 (+9.0%), $3.12 billion in FY2022 (+18.1%) and $2.64 billion in FY2021 (+37.5%).
- Quarterly Capital Expenditures has moved between $422.4 million (Q1 2021) and $936.92 million (Q1 2023) over five years.
- Compared with a year earlier, Capital Expenditures has declined for three straight quarters, with an average decline of 8.7% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2021 (growth of 107.5%); the worst was Q2 2025 (a decline of 33.6%).
- Per Business Quant data, PLD's Capital Expenditures in the three quarters before Q4 2025 was $627.45 million (Q3 2025), $555.08 million (Q2 2025) and $776.18 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 161.57 Bn | 144.08 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 119.54 Bn | 123.93 Bn | - | 799.74 Mn |
| 3 | Simon Property | 69.08 Bn | 70.29 Bn | - | 208.40 Mn |
| 4 | Realty Income | 50.89 Bn | 53.27 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.48 Bn | 48.56 Bn | - | 56.02 Mn |
| 6 | Ventas | 41.74 Bn | 40.94 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 28.07 Bn | 28.07 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 24.82 Bn | 22.93 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.53 Bn | 22.72 Bn | - | 16.42 Mn |
| 10 | Essex Property Trust | 17.48 Bn | 17.65 Bn | - | 25.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 799.74 Mn |
| Mar 31, 2026 | 764.47 Mn |
| Dec 31, 2025 | 822.55 Mn |
| Sep 30, 2025 | 627.45 Mn |
| Jun 30, 2025 | 555.08 Mn |
| Mar 31, 2025 | 776.18 Mn |
| Dec 31, 2024 | 829.34 Mn |
| Sep 30, 2024 | 821.74 Mn |
| Jun 30, 2024 | 835.36 Mn |
| Mar 31, 2024 | 719.80 Mn |
| Dec 31, 2023 | 891.45 Mn |
| Sep 30, 2023 | 796.03 Mn |
| Jun 30, 2023 | 774.71 Mn |
| Mar 31, 2023 | 936.92 Mn |
| Dec 31, 2022 | 886.56 Mn |
| Sep 30, 2022 | 769.81 Mn |
| Jun 30, 2022 | 822.37 Mn |
| Mar 31, 2022 | 639.64 Mn |
| Dec 31, 2021 | 869.52 Mn |
| Sep 30, 2021 | 773.03 Mn |
API Access
Prologis Capital Expenditures 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=capital-expenditures&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();