Net Lease Office Properties (NLOP) Price to FCF (2023 - 2026)
Net Lease Office Properties' Price to FCF was 3.52 in Q2 2026, down 64.1% from 9.79 a year earlier but up 15.2% from the prior quarter.
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Analysis
Net Lease Office Properties (NLOP) Price to FCF (2023 - 2026) Analysis & Trends
For FY2025, Price to FCF at Net Lease Office Properties came in at 6.36, down 17.7% from FY2024.
- In earlier years, Price to FCF was 7.72 in FY2024 (+71.0%) and 4.52 in FY2023.
- Quarterly Price to FCF has moved between 3.05 (Q1 2026) and 9.79 (Q2 2025) over five years.
- Compared with a year earlier, Price to FCF has declined for three straight quarters, with growth averaging 4.7% over the last seven quarters.
- Per Business Quant data, NLOP's Price to FCF in the three quarters before Q2 2026 was 3.05 (Q1 2026), 6.36 (Q4 2025) and 9.32 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Net Lease Office Properties | 144.73 Mn | 148.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.52 |
| Mar 31, 2026 | 3.05 |
| Dec 31, 2025 | 6.36 |
| Sep 30, 2025 | 9.32 |
| Jun 30, 2025 | 9.79 |
| Mar 31, 2025 | 9.03 |
| Dec 31, 2024 | 7.72 |
| Sep 30, 2024 | 8.51 |
| Jun 30, 2024 | 6.81 |
| Mar 31, 2024 | 5.77 |
| Dec 31, 2023 | 4.52 |
API Access
Net Lease Office Properties Price 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=price-to-fcf&ticker=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();