MacKenzie Realty Capital (MKZR) Price to Book (2024 - 2026)
MacKenzie Realty Capital's (MKZR) Price to Book stood at 0.04 in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 61.8% from 0.11 a year earlier and down 53.2% from the prior quarter.
MacKenzie Realty Capital (MKZR) Price to Book (2024 - 2026) Analysis & Trends
Starting with fiscal Q1 2025, MacKenzie Realty Capital's Price to Book history includes 8 quarters.
- Across earlier fiscal years, Price to Book came in at 0.11 in FY2025.
- The fiscal Q4 2026 figure is the lowest quarterly Price to Book in data going back to fiscal Q1 2025.
- On a year-over-year basis, Price to Book has declined for four consecutive quarters, with an average decline of 70.4% over the last four quarters.
- Per Business Quant, the preceding three fiscal quarters came in at 0.09 (Q3 2026), 0.09 (Q2 2026) and 0.10 (Q1 2026).
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 | MacKenzie Realty Capital | 2.68 Mn | 11.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.04 |
| Mar 31, 2026 | 0.09 |
| Dec 31, 2025 | 0.09 |
| Sep 30, 2025 | 0.10 |
| Jun 30, 2025 | 0.11 |
| Mar 31, 2025 | 0.24 |
| Dec 31, 2024 | 0.44 |
| Sep 30, 2024 | 0.46 |
MacKenzie Realty Capital Price to Book 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-book&ticker=MKZR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MKZR", "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-book&ticker=MKZR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();