Highwoods Properties (HIW) Price to Book (2009 - 2026)
Highwoods Properties' Price to Book was 1.28 in Q2 2026, down 9.0% from 1.41 a year earlier.
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Analysis
Highwoods Properties (HIW) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Price to Book at Highwoods Properties came in at 1.19, down 14.4% from FY2024.
- In earlier years, Price to Book was 1.39 in FY2024 (+39.8%), 1.00 in FY2023 (-15.5%), 1.18 in FY2022 (-37.0%) and 1.87 in FY2021 (+7.1%).
- Quarterly Price to Book has moved between 0.89 (Q3 2023) and 1.93 (Q1 2022) over five years.
- Compared with a year earlier, Price to Book was higher in four of the last seven quarters, with growth averaging 17.2%.
- The best year-over-year quarter for Price to Book over five years was Q3 2024 (growth of 69.5%); the worst was Q1 2023 (a decline of 49.0%).
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 | Highwoods Properties | 3.27 Bn | 3.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 |
| Dec 31, 2025 | 1.19 |
| Sep 30, 2025 | 1.46 |
| Jun 30, 2025 | 1.41 |
| Mar 31, 2025 | 1.32 |
| Dec 31, 2024 | 1.39 |
| Sep 30, 2024 | 1.50 |
| Jun 30, 2024 | 1.15 |
| Mar 31, 2024 | 1.15 |
| Dec 31, 2023 | 1.00 |
| Sep 30, 2023 | 0.89 |
| Jun 30, 2023 | 1.02 |
| Mar 31, 2023 | 0.98 |
| Dec 31, 2022 | 1.18 |
| Sep 30, 2022 | 1.12 |
| Jun 30, 2022 | 1.43 |
| Mar 31, 2022 | 1.93 |
| Dec 31, 2021 | 1.87 |
| Sep 30, 2021 | 1.91 |
| Jun 30, 2021 | 1.99 |
API Access
Highwoods Properties 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=HIW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "HIW", "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=HIW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();