Kilroy Realty (KRC) Price to Book (2009 - 2026)
Kilroy Realty's Price to Book came in at 0.80 for Q2 2026, up 10.2% from 0.73 a year earlier.
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Analysis
Kilroy Realty (KRC) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Kilroy Realty's Price to Book was 0.78, down 7.8% from FY2024.
- Going back by year, Price to Book was 0.85 in FY2024 (+3.2%), 0.83 in FY2023 (+3.6%), 0.80 in FY2022 (-41.5%) and 1.36 in FY2021 (+7.8%).
- The five-year range for quarterly Price to Book is 0.62 (Q2 2023) to 1.57 (Q1 2022).
- Year-over-year, Price to Book increased in five of the last seven quarters, with growth averaging 5.9%.
- The fastest year-over-year change in Price to Book over five years came in Q3 2024 (growth of 24.6%), and the weakest in Q1 2023 (a decline of 57.5%).
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 | Kilroy Realty | 3.87 Bn | 4.09 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.80 |
| Dec 31, 2025 | 0.78 |
| Sep 30, 2025 | 0.88 |
| Jun 30, 2025 | 0.73 |
| Mar 31, 2025 | 0.69 |
| Dec 31, 2024 | 0.85 |
| Sep 30, 2024 | 0.81 |
| Jun 30, 2024 | 0.65 |
| Mar 31, 2024 | 0.76 |
| Dec 31, 2023 | 0.83 |
| Sep 30, 2023 | 0.65 |
| Jun 30, 2023 | 0.62 |
| Mar 31, 2023 | 0.67 |
| Dec 31, 2022 | 0.80 |
| Sep 30, 2022 | 0.87 |
| Jun 30, 2022 | 1.08 |
| Mar 31, 2022 | 1.57 |
| Dec 31, 2021 | 1.36 |
| Sep 30, 2021 | 1.36 |
| Jun 30, 2021 | 1.42 |
API Access
Kilroy Realty 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=KRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "KRC", "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=KRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();