Net Lease Office Properties (NLOP) EBITDA Margin (2022 - 2026)
Net Lease Office Properties (NLOP) reported EBITDA Margin of -47.12% for Q2 2026, up 183.67 percentage points from -230.79% a year earlier but down 354.73 percentage points from the prior quarter.
Net Lease Office Properties (NLOP) EBITDA Margin (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Net Lease Office Properties' EBITDA Margin came in at -26.67%, up 44.40 percentage points year-over-year; for FY2025, it came in at -77.79%, down 119.61 percentage points from FY2024.
- EBITDA Margin has a four-year change of -140.02 percentage points (FY2021 to FY2025).
- By year, EBITDA Margin came in at 41.82% in FY2024 (+46.06 pp), -4.25% in FY2023 (-72.98 pp), 68.74% in FY2022 (+6.52 pp) and 62.22% in FY2021.
- Five-year quarterly EBITDA Margin spans a low of -230.79% in Q2 2025 and a high of 307.61% in Q1 2026.
- Year over year, EBITDA Margin has now increased in each of the last three quarters, with an average year-over-year change of +8.63 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q1 2026 (a gain of 249.07 percentage points); the low point was Q2 2025 (a drop of 373.10 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 307.61% (Q1 2026), 27.53% (Q4 2025) and -179.54% (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.12% |
| Mar 31, 2026 | 307.61% |
| Dec 31, 2025 | 27.53% |
| Sep 30, 2025 | -179.54% |
| Jun 30, 2025 | -230.79% |
| Mar 31, 2025 | 58.54% |
| Dec 31, 2024 | -63.73% |
| Sep 30, 2024 | -49.78% |
| Jun 30, 2024 | 142.31% |
| Mar 31, 2024 | 39.97% |
| Dec 31, 2023 | -209.79% |
| Sep 30, 2023 | 66.95% |
| Jun 30, 2023 | 69.52% |
| Mar 31, 2023 | 70.76% |
| Dec 31, 2022 | 67.91% |
| Sep 30, 2022 | 40.23% |
Net Lease Office Properties EBITDA Margin 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=ebitda-margin&ticker=NLOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "NLOP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();