Analysts expect Industrial Logistics Properties Trust to report revenue of 122.72 M for Q4 26, against a range of 111.19 M to 134.26 M. The most recent reported quarter, Q3 26, came in at 116.81 M, a 6.7% miss against the 125.14 M consensus.
| Metric | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 | Q1 28 | Q2 28 | Q3 28 | Q4 28 | Q1 29 | Q2 29 | Q3 29 | Q4 29 | Q1 30 | Q2 30 | Q3 30 | Q4 30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | 110.52 M | 111.91 M | 112.10 M | 110.94 M | 113.91 M | 116.42 M | 114.12 M | 116.81 M | - | - | - | - | - | - | - | - | |||||||||
| High Estimate | 121.50 M | 110.02 M | 117.41 M | 125.79 M | 115.43 M | 124.31 M | 117.07 M | 136.03 M | 134.26 M | 131.92 M | 125.50 M | 120.81 M | 120.00 M | 136.33 M | 131.12 M | 133.71 M | |||||||||
| Low Estimate | 112.12 M | 98.76 M | 97.63 M | 105.35 M | 99.08 M | 112.24 M | 103.16 M | 114.25 M | 111.19 M | 111.76 M | 104.80 M | 104.85 M | 111.78 M | 117.84 M | 117.35 M | 125.83 M | |||||||||
| Consensus Estimate | 116.81 M | 104.39 M | 107.52 M | 115.57 M | 107.26 M | 118.28 M | 110.12 M | 125.14 M | 122.72 M | 121.84 M | 115.15 M | 112.83 M | 115.89 M | 127.08 M | 124.24 M | 129.77 M |
Analysts expect Industrial Logistics Properties Trust to report earnings per share of -0.27 for Q4 26, against a range of -0.29 to -0.25. The most recent reported quarter, Q3 26, came in at -0.46, a 228.6% miss against the -0.14 consensus.
| Metric | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 | Q1 28 | Q2 28 | Q3 28 | Q4 28 | Q1 29 | Q2 29 | Q3 29 | Q4 29 | Q1 30 | Q2 30 | Q3 30 | Q4 30 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | -0.37 | -0.33 | -0.32 | -0.33 | -0.03 | -0.14 | -0.22 | -0.46 | - | - | - | - | - | - | - | - | |||||||||
| High Estimate | - | - | -0.28 | -0.26 | 0.07 | -0.17 | -0.18 | -0.13 | -0.25 | -0.24 | -0.24 | -0.28 | -0.18 | -0.15 | -0.14 | -0.18 | |||||||||
| Low Estimate | - | - | -0.32 | -0.30 | 0.07 | -0.21 | -0.22 | -0.15 | -0.29 | -0.28 | -0.30 | -0.32 | -0.20 | -0.17 | -0.16 | -0.20 | |||||||||
| Consensus Estimate | - | - | -0.30 | -0.28 | 0.07 | -0.19 | -0.20 | -0.14 | -0.27 | -0.26 | -0.27 | -0.30 | -0.19 | -0.16 | -0.15 | -0.19 |
Pull Wall Street consensus for Industrial Logistics Properties Trust (high, low and consensus estimates alongside reported actuals) into your own models and apps with the Business Quant Estimates API. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/estimates?ticker=ILPT&mode=revenue&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/estimates"
params = {"ticker": "ILPT", "mode": "revenue", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/estimates?ticker=ILPT&mode=revenue&api_key=YOUR_API_KEY");
const data = await res.json();