LXP Industrial Trust (LXP) Sales of Property, Plant and Equipment (2010 - 2025)
LXP Industrial Trust (LXP) recorded Sales of Property, Plant and Equipment of $114.64 million in Q4 2025, down 15.1% from $134.98 million a year earlier and down 40.3% from the prior quarter.
LXP Industrial Trust (LXP) Sales of Property, Plant and Equipment (2010 - 2025) Analysis & Trends
For FY2025, LXP Industrial Trust reported Sales of Property, Plant and Equipment of $380.23 million, up 114.2% from FY2024.
- Annual Sales of Property, Plant and Equipment has a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Across earlier years, Sales of Property, Plant and Equipment came in at $177.47 million in FY2024 (+81.5%), $97.76 million in FY2023 (-49.7%), $194.47 million in FY2022 (-73.3%) and $728.36 million in FY2021 (+278.3%).
- Quarterly Sales of Property, Plant and Equipment has ranged from $255,000 in Q1 2022 to $547.12 million in Q4 2021 over the past five years.
- On a year-over-year basis, Sales of Property, Plant and Equipment rose in three of the last five quarters, with growth averaging 234.5%.
- Peak year-over-year performance for Sales of Property, Plant and Equipment in the last five years was growth of 611.5% in Q3 2025, against a decline of 99.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $192.09 million (Q3 2025), $39.38 million (Q2 2025) and $34.12 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 162.49 Bn | 145.01 Bn | 1.39 Bn | 635.88 Mn |
| 2 | Prologis | 120.81 Bn | 125.21 Bn | - | 764.43 Mn |
| 3 | Simon Property | 68.41 Bn | 69.62 Bn | - | - |
| 4 | Realty Income | 51.26 Bn | 53.64 Bn | - | 160.66 Mn |
| 5 | Public Storage | 50.91 Bn | 50.00 Bn | - | 27.00 Mn |
| 6 | Ventas | 42.08 Bn | 41.28 Bn | - | 5.52 Mn |
| 7 | Extra Space Storage | 28.45 Bn | 28.45 Bn | 642.43 Mn | 7.29 Mn |
| 8 | Vici Properties | 25.19 Bn | 23.31 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.92 Bn | 23.11 Bn | - | - |
| 10 | LXP Industrial Trust | 3.60 Bn | 3.61 Bn | 71.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 114.64 Mn |
| Sep 30, 2025 | 192.09 Mn |
| Jun 30, 2025 | 39.38 Mn |
| Mar 31, 2025 | 34.12 Mn |
| Dec 31, 2024 | 134.98 Mn |
| Sep 30, 2024 | 27.00 Mn |
| Jun 30, 2024 | 15.49 Mn |
| Dec 31, 2023 | 23.94 Mn |
| Sep 30, 2023 | 46.48 Mn |
| Mar 31, 2023 | 27.34 Mn |
| Dec 31, 2022 | 48.57 Mn |
| Sep 30, 2022 | 91.38 Mn |
| Jun 30, 2022 | 54.27 Mn |
| Mar 31, 2022 | 255,000.00 |
| Dec 31, 2021 | 547.12 Mn |
| Sep 30, 2021 | 1.11 Mn |
| Jun 30, 2021 | 123.62 Mn |
| Mar 31, 2021 | 56.51 Mn |
| Dec 31, 2020 | 92.82 Mn |
| Sep 30, 2020 | 33.56 Mn |
LXP Industrial Trust Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=LXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=LXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();