LXP Industrial Trust (LXP) Capital Expenditures (2010 - 2026)
LXP Industrial Trust (LXP) reported Capital Expenditures of $17.84 million for Q2 2026, up 288.6% from $4.59 million a year earlier and up 218.0% from the prior quarter.
LXP Industrial Trust (LXP) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LXP Industrial Trust's Capital Expenditures came in at $40.58 million, down 30.8% year-over-year; for FY2025, it was $28.9 million, down 72.7% from FY2024.
- Capital Expenditures has declined for four consecutive years, with a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $105.71 million in FY2024 (-12.5%), $120.79 million in FY2023 (-56.3%), $276.71 million in FY2022 (-4.1%) and $288.52 million in FY2021 (+434.6%).
- The Q2 2026 figure ranks as the highest quarterly Capital Expenditures since Q4 2024.
- Year over year, Capital Expenditures gained in two of the last eight quarters, with an average decline of 6.1%.
- The high point for year-over-year Capital Expenditures in five years was Q3 2021 (growth of 471.2%); the low point was Q2 2025 (a decline of 86.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.61 million (Q1 2026), $8.43 million (Q4 2025) and $8.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 162.49 Bn | 145.01 Bn | 1.39 Bn | 5.21 Bn |
| 2 | Prologis | 120.81 Bn | 125.21 Bn | - | 799.74 Mn |
| 3 | Simon Property | 68.41 Bn | 69.62 Bn | - | 208.40 Mn |
| 4 | Realty Income | 51.26 Bn | 53.64 Bn | - | 1.90 Bn |
| 5 | Public Storage | 50.91 Bn | 50.00 Bn | - | 185.52 Mn |
| 6 | Ventas | 42.08 Bn | 41.28 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 28.45 Bn | 28.45 Bn | 642.43 Mn | 158.83 Mn |
| 8 | Vici Properties | 25.19 Bn | 23.31 Bn | 1.05 Bn | 141.09 Mn |
| 9 | Vivmark Residential | 22.92 Bn | 23.11 Bn | - | 98.33 Mn |
| 10 | LXP Industrial Trust | 3.60 Bn | 3.61 Bn | 71.94 Mn | 97.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.56 Mn |
| Mar 31, 2026 | 5.61 Mn |
| Dec 31, 2025 | 2.64 Mn |
| Sep 30, 2025 | 18.25 Mn |
| Jun 30, 2025 | 4.59 Mn |
| Mar 31, 2025 | 7.18 Mn |
| Dec 31, 2024 | 76.16 Mn |
| Sep 30, 2024 | 27.01 Mn |
| Jun 30, 2024 | 34.62 Mn |
| Mar 31, 2024 | 24.20 Mn |
| Dec 31, 2023 | 32.74 Mn |
| Sep 30, 2023 | 25.41 Mn |
| Jun 30, 2023 | 28.39 Mn |
| Mar 31, 2023 | 34.26 Mn |
| Dec 31, 2022 | 66.84 Mn |
| Sep 30, 2022 | 74.04 Mn |
| Jun 30, 2022 | 60.46 Mn |
| Mar 31, 2022 | 75.37 Mn |
| Dec 31, 2021 | 365.79 Mn |
| Sep 30, 2021 | 136.01 Mn |
LXP Industrial Trust 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=LXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "LXP", "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=LXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();