Alexandria Real Estate Equities (ARE) Capital Expenditures (2009 - 2026)
Alexandria Real Estate Equities (ARE) recorded Capital Expenditures of $403.32 million in Q2 2026, down 7.3% from $435.17 million a year earlier and down 26.1% from the prior quarter.
Alexandria Real Estate Equities (ARE) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Alexandria Real Estate Equities' Capital Expenditures came in at $1.74 billion as of Jun 30, 2026, down 23.1% year-over-year; for FY2025, it was $1.87 billion, down 22.8% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $2.42 billion in FY2024 (-29.1%), $3.42 billion in FY2023 (+3.4%), $3.31 billion in FY2022 (+58.3%) and $2.09 billion in FY2021 (+44.6%).
- Quarterly Capital Expenditures has ranged from $332.31 million in Q4 2025 to $983.3 million in Q4 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for 12 consecutive quarters, with an average decline of 21.1% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 79.6% in Q4 2022, against a decline of 41.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $546 million (Q1 2026), $332.31 million (Q4 2025) and $457.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 799.74 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 208.40 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.42 Mn |
| 10 | Alexandria Real Estate Equities | 8.25 Bn | 4.51 Bn | - | 403.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 403.32 Mn |
| Mar 31, 2026 | 546.00 Mn |
| Dec 31, 2025 | 332.31 Mn |
| Sep 30, 2025 | 457.61 Mn |
| Jun 30, 2025 | 435.17 Mn |
| Mar 31, 2025 | 645.84 Mn |
| Dec 31, 2024 | 490.27 Mn |
| Sep 30, 2024 | 691.14 Mn |
| Jun 30, 2024 | 547.95 Mn |
| Mar 31, 2024 | 693.27 Mn |
| Dec 31, 2023 | 817.30 Mn |
| Sep 30, 2023 | 788.76 Mn |
| Jun 30, 2023 | 938.88 Mn |
| Mar 31, 2023 | 873.37 Mn |
| Dec 31, 2022 | 983.30 Mn |
| Sep 30, 2022 | 946.43 Mn |
| Jun 30, 2022 | 711.23 Mn |
| Mar 31, 2022 | 666.36 Mn |
| Dec 31, 2021 | 547.64 Mn |
| Sep 30, 2021 | 540.23 Mn |
Alexandria Real Estate Equities 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=ARE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ARE", "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=ARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();