Net Lease Office Properties (NLOP) EV to FCF (2023 - 2026)
Net Lease Office Properties' (NLOP) EV to FCF was 3.10 for Q2 2026, down 64.7% from 8.78 a year earlier but up 66.4% from the prior quarter.
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Analysis
Net Lease Office Properties (NLOP) EV to FCF (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Net Lease Office Properties' EV to FCF came in at -1.79; for FY2025, it was 4.43, down 39.9% from FY2024.
- By year, EV to FCF came in at 7.37 in FY2024 (+70.7%) and 4.32 in FY2023.
- Five-year quarterly EV to FCF spans a low of 1.86 in Q1 2026 and a high of 8.78 in Q2 2025.
- Year over year, EV to FCF has now declined in each of the last three quarters, with growth averaging 0.5% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 1.86 (Q1 2026), 4.43 (Q4 2025) and 8.58 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Net Lease Office Properties | 146.07 Mn | 149.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.10 |
| Mar 31, 2026 | 1.86 |
| Dec 31, 2025 | 4.43 |
| Sep 30, 2025 | 8.58 |
| Jun 30, 2025 | 8.78 |
| Mar 31, 2025 | 8.57 |
| Dec 31, 2024 | 7.37 |
| Sep 30, 2024 | 7.90 |
| Jun 30, 2024 | 6.20 |
| Mar 31, 2024 | 5.18 |
| Dec 31, 2023 | 4.32 |
API Access
Net Lease Office Properties EV to FCF 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=ev-to-fcf&ticker=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();