Industrial Logistics Properties Trust (ILPT) Tax Provisions (2017 - 2026)
Industrial Logistics Properties Trust (ILPT) reported Tax Provisions of $59,000 for Q2 2026, up 96.7% from $30,000 a year earlier but down 48.2% from the prior quarter.
Industrial Logistics Properties Trust (ILPT) Tax Provisions (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Industrial Logistics Properties Trust's Tax Provisions came in at $219,000, up 45.0% year-over-year; for FY2025, it was $104,000, down 35.8% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of -17.8% (FY2020 to FY2025).
- By year, Tax Provisions came in at $162,000 in FY2024 (+55.8%), $104,000 in FY2023 (+131.1%), $45,000 in FY2022 (-83.5%) and $273,000 in FY2021 (-1.4%).
- Five-year quarterly Tax Provisions spans a low of -$68,000 in Q4 2022 and a high of $114,000 in Q1 2026.
- Year over year, Tax Provisions gained in two of the last seven quarters, with growth averaging 36.5%.
- The high point for year-over-year Tax Provisions in five years was Q3 2021 (growth of 453.8%); the low point was Q1 2023 (a decline of 75.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $114,000 (Q1 2026), $15,000 (Q4 2025) and $31,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -61.98 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 108.17 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | -6.80 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 25.81 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 2.72 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | -25.62 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 12.07 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | -461,000.00 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 411,000.00 |
| 10 | Industrial Logistics Properties Trust | 474.01 Mn | 853.52 Mn | - | 59,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59,000.00 |
| Mar 31, 2026 | 114,000.00 |
| Dec 31, 2025 | 15,000.00 |
| Sep 30, 2025 | 31,000.00 |
| Jun 30, 2025 | 30,000.00 |
| Mar 31, 2025 | 28,000.00 |
| Dec 31, 2024 | 60,000.00 |
| Sep 30, 2024 | 33,000.00 |
| Jun 30, 2024 | 36,000.00 |
| Mar 31, 2024 | 33,000.00 |
| Dec 31, 2023 | -9,000.00 |
| Sep 30, 2023 | 51,000.00 |
| Jun 30, 2023 | 45,000.00 |
| Mar 31, 2023 | 17,000.00 |
| Dec 31, 2022 | -68,000.00 |
| Sep 30, 2022 | 28,000.00 |
| Jun 30, 2022 | 16,000.00 |
| Mar 31, 2022 | 69,000.00 |
| Dec 31, 2021 | 96,000.00 |
| Sep 30, 2021 | 72,000.00 |
Industrial Logistics Properties Trust Tax Provisions 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=tax-provisions&ticker=ILPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "ILPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=ILPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();