Net Lease Office Properties (NLOP) EV to CFO (2023 - 2026)
Net Lease Office Properties' EV to CFO came in at 3.01 for Q2 2026, down 60.6% from 7.63 a year earlier but up 68.2% from the prior quarter.
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Analysis
Net Lease Office Properties (NLOP) EV to CFO (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Net Lease Office Properties reported EV to CFO of -1.74; for FY2025, it was 4.15, down 32.4% from FY2024.
- Going back by year, EV to CFO was 6.14 in FY2024 (+68.7%) and 3.64 in FY2023.
- The five-year range for quarterly EV to CFO is 1.79 (Q1 2026) to 7.69 (Q3 2025).
- Year-over-year, EV to CFO has declined for three consecutive quarters, with growth averaging 9.8% over the last seven quarters.
- Business Quant data shows NLOP's EV to CFO at 1.79 (Q1 2026), 4.15 (Q4 2025) and 7.69 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - |
| 10 | Net Lease Office Properties | 147.55 Mn | 151.44 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.01 |
| Mar 31, 2026 | 1.79 |
| Dec 31, 2025 | 4.15 |
| Sep 30, 2025 | 7.69 |
| Jun 30, 2025 | 7.63 |
| Mar 31, 2025 | 7.40 |
| Dec 31, 2024 | 6.14 |
| Sep 30, 2024 | 6.07 |
| Jun 30, 2024 | 4.77 |
| Mar 31, 2024 | 4.07 |
| Dec 31, 2023 | 3.64 |
API Access
Net Lease Office Properties EV to CFO 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-cfo&ticker=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();