LXP Industrial Trust (LXP) Selling, General & Administrative (2010 - 2026)
LXP Industrial Trust (LXP) reported Selling, General & Administrative of $9.71 million for Q2 2026, up 0.9% from $9.63 million a year earlier but down 5.3% from the prior quarter.
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Analysis
LXP Industrial Trust (LXP) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LXP Industrial Trust's Selling, General & Administrative came in at $40 million, down 3.2% year-over-year; for FY2025, it was $40.05 million, unchanged from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $40.05 million in FY2024 (+10.2%), $36.33 million in FY2023 (-6.1%), $38.71 million in FY2022 (+9.2%) and $35.46 million in FY2021 (+16.7%).
- Five-year quarterly Selling, General & Administrative spans a low of $8.36 million in Q3 2021 and a high of $10.99 million in Q3 2024.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 4.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 38.7%); the low point was Q3 2025 (a decline of 15.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.25 million (Q1 2026), $10.71 million (Q4 2025) and $9.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | 54.30 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 44.37 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 16.64 Mn |
| 10 | LXP Industrial Trust | 3.59 Bn | 3.61 Bn | 71.94 Mn | 9.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.71 Mn |
| Mar 31, 2026 | 10.25 Mn |
| Dec 31, 2025 | 10.71 Mn |
| Sep 30, 2025 | 9.33 Mn |
| Jun 30, 2025 | 9.63 Mn |
| Mar 31, 2025 | 10.39 Mn |
| Dec 31, 2024 | 10.31 Mn |
| Sep 30, 2024 | 10.99 Mn |
| Jun 30, 2024 | 9.25 Mn |
| Mar 31, 2024 | 9.49 Mn |
| Dec 31, 2023 | 9.47 Mn |
| Sep 30, 2023 | 8.61 Mn |
| Jun 30, 2023 | 9.01 Mn |
| Mar 31, 2023 | 9.24 Mn |
| Dec 31, 2022 | 9.62 Mn |
| Sep 30, 2022 | 9.06 Mn |
| Jun 30, 2022 | 9.30 Mn |
| Mar 31, 2022 | 10.74 Mn |
| Dec 31, 2021 | 10.76 Mn |
| Sep 30, 2021 | 8.36 Mn |
API Access
LXP Industrial Trust Selling, General & Administrative 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=selling-general-and-administrative&ticker=LXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();