Invitation Homes (INVH) EV to CFO (2017 - 2026)
Invitation Homes' (INVH) quarterly EV to CFO came in at 45.96 in Q2 2026, down 11.79% year-over-year from 52.1 in Q2 2025, and down 7.37% quarter-over-quarter from 49.61 in Q1 2026.
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Analysis
Invitation Homes (INVH) EV to CFO (2017 - 2026) Analysis & Trends
Invitation Homes (INVH) has reported EV to CFO for 10 consecutive years, with 45.96 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to CFO fell 11.79% year-over-year to 45.96 in Q2 2026; TTM through Jun 2026 was 14.69, a 16.72% decrease from a year earlier, with the FY2025 full-year figure at 13.92, down 22.3% from the prior year.
- EV to CFO was 45.96 for Q2 2026 at Invitation Homes, down from 49.61 in the prior quarter.
- Over five years, EV to CFO peaked at 230.83 in Q4 2023 and troughed at 44.35 in Q3 2023.
- A 5-year average of 84.88 and a median of 66.75 in 2024 frame the typical range for EV to CFO.
- The widest YoY moves for EV to CFO: up 54.36% in 2023, down 42.2% in 2023.
- Over 5 years, EV to CFO stood at 149.54 in 2022, then jumped by 54.36% to 230.83 in 2023, then sank by 36.8% to 145.89 in 2024, then fell by 10.56% to 130.48 in 2025, then tumbled by 64.78% to 45.96 in 2026.
- The last three EV to CFO figures came in at 45.96 (Q2 2026), 49.61 (Q1 2026), and 130.48 (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 | 45.96 |
| Mar 31, 2026 | 49.61 |
| Dec 31, 2025 | 130.48 |
| Sep 30, 2025 | 45.05 |
| Jun 30, 2025 | 52.10 |
| Mar 31, 2025 | 70.42 |
| Dec 31, 2024 | 145.89 |
| Sep 30, 2024 | 65.71 |
| Jun 30, 2024 | 57.52 |
| Mar 31, 2024 | 79.48 |
| Dec 31, 2023 | 230.83 |
| Sep 30, 2023 | 44.35 |
| Jun 30, 2023 | 73.57 |
| Mar 31, 2023 | 59.21 |
| Dec 31, 2022 | 149.54 |
| Sep 30, 2022 | 57.91 |
| Jun 30, 2022 | 67.78 |
| Mar 31, 2022 | 102.45 |
| Dec 31, 2021 | 212.87 |
| Sep 30, 2021 | 71.34 |
API Access
Invitation Homes 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=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();