LXP Industrial Trust (LXP) Dividends payables (2010 - 2026)
LXP Industrial Trust (LXP) recorded Dividends payables of $44.28 million in Q2 2026, up 6.6% from $41.54 million a year earlier and up 1.7% from the prior quarter.
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Analysis
LXP Industrial Trust (LXP) Dividends payables (2010 - 2026) Analysis & Trends
At the end of FY2025, LXP Industrial Trust reported Dividends payables of $44.72 million, up 8.6% from FY2024.
- Annual Dividends payables has increased for six straight years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier years, Dividends payables came in at $41.16 million in FY2024 (+3.9%), $39.61 million in FY2023 (+3.1%), $38.42 million in FY2022 (+2.6%) and $37.43 million in FY2021 (+5.7%).
- Quarterly Dividends payables has ranged from $34.28 million in Q3 2021 to $44.72 million in Q4 2025 over the past five years.
- On a year-over-year basis, Dividends payables has increased for 19 consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Peak year-over-year performance for Dividends payables in the last five years was growth of 10.4% in Q1 2022, against a decline of 0.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.54 million (Q1 2026), $44.72 million (Q4 2025) and $41.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 2.72 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 259.25 Mn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 500.76 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 269.49 Mn |
| 10 | LXP Industrial Trust | 3.59 Bn | 3.60 Bn | 71.94 Mn | 44.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.28 Mn |
| Mar 31, 2026 | 43.54 Mn |
| Dec 31, 2025 | 44.72 Mn |
| Sep 30, 2025 | 41.92 Mn |
| Jun 30, 2025 | 41.54 Mn |
| Mar 31, 2025 | 41.35 Mn |
| Dec 31, 2024 | 41.16 Mn |
| Sep 30, 2024 | 39.74 Mn |
| Jun 30, 2024 | 39.71 Mn |
| Mar 31, 2024 | 39.57 Mn |
| Dec 31, 2023 | 39.61 Mn |
| Sep 30, 2023 | 38.30 Mn |
| Jun 30, 2023 | 38.26 Mn |
| Mar 31, 2023 | 38.16 Mn |
| Dec 31, 2022 | 38.42 Mn |
| Sep 30, 2022 | 34.78 Mn |
| Jun 30, 2022 | 35.58 Mn |
| Mar 31, 2022 | 36.78 Mn |
| Dec 31, 2021 | 37.43 Mn |
| Sep 30, 2021 | 34.28 Mn |
API Access
LXP Industrial Trust Dividends payables 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=dividends-payables&ticker=LXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=LXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();