Invitation Homes (INVH) Price to Book (2017 - 2026)
Invitation Homes' (INVH) quarterly Price to Book came in at 1.96 in Q2 2026, down 5.28% year-over-year from 2.07 in Q2 2025, and up 21.36% quarter-over-quarter from 1.62 in Q1 2026.
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Analysis
Invitation Homes (INVH) Price to Book (2017 - 2026) Analysis & Trends
Invitation Homes (INVH) has reported Price to Book for 10 consecutive years, with 1.96 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book fell 5.28% year-over-year to 1.96 in Q2 2026; TTM through Jun 2026 was 1.96, a 5.28% decrease from a year earlier, with the FY2025 full-year figure at 1.77, down 11.3% from the prior year.
- Price to Book was 1.96 for Q2 2026 at Invitation Homes, up from 1.62 in the prior quarter.
- Over five years, Price to Book peaked at 2.4 in Q1 2022 and troughed at 1.62 in Q1 2026.
- A 5-year average of 2.0 and a median of 2.02 in 2023 frame the typical range for Price to Book.
- The widest YoY moves for Price to Book: up 18.77% in 2022, down 36.62% in 2022.
- Over 5 years, Price to Book stood at 1.76 in 2022, then gained by 16.69% to 2.05 in 2023, then declined by 2.36% to 2.0 in 2024, then fell by 11.3% to 1.77 in 2025, then increased by 10.61% to 1.96 in 2026.
- The last three Price to Book figures came in at 1.96 (Q2 2026), 1.62 (Q1 2026), and 1.77 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.96 |
| Mar 31, 2026 | 1.62 |
| Dec 31, 2025 | 1.77 |
| Sep 30, 2025 | 1.86 |
| Jun 30, 2025 | 2.07 |
| Mar 31, 2025 | 2.19 |
| Dec 31, 2024 | 2.00 |
| Sep 30, 2024 | 2.17 |
| Jun 30, 2024 | 2.18 |
| Mar 31, 2024 | 2.14 |
| Dec 31, 2023 | 2.05 |
| Sep 30, 2023 | 1.89 |
| Jun 30, 2023 | 2.05 |
| Mar 31, 2023 | 1.86 |
| Dec 31, 2022 | 1.76 |
| Sep 30, 2022 | 2.00 |
| Jun 30, 2022 | 2.11 |
| Mar 31, 2022 | 2.40 |
| Dec 31, 2021 | 2.77 |
| Sep 30, 2021 | 2.39 |
API Access
Invitation Homes 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=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "INVH", "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=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();