Invitation Homes (INVH) General and Administrative (2016 - 2026)
Invitation Homes' Selling, General & Administrative was $34.23 million in Q3 2026, up 85.6% from $18.44 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Invitation Homes (INVH) General and Administrative (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Invitation Homes' Selling, General & Administrative was $119.58 million through Sep 30, 2026, up 25.2% year-over-year; for FY2025, it came in at $95.25 million, up 5.1% from FY2024.
- Selling, General & Administrative has now increased for three consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $90.61 million in FY2024 (+10.0%), $82.34 million in FY2023 (+11.2%), $74.03 million in FY2022 (-2.4%) and $75.82 million in FY2021 (+19.8%).
- The Q3 2026 figure marks the highest quarterly Selling, General & Administrative since Q4 2017.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 18.2% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2026 (growth of 85.6%); the worst was Q3 2025 (a decline of 15.1%).
- Per Business Quant data, INVH's Selling, General & Administrative in the three quarters before Q3 2026 was $29.33 million (Q2 2026), $32.32 million (Q1 2026) and $23.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 170.14 Bn | 156.17 Bn | 1.47 Bn |
| 2 | Prologis | 120.69 Bn | 114.64 Bn | - |
| 3 | Simon Property | 70.61 Bn | 66.46 Bn | - |
| 4 | Public Storage | 59.72 Bn | 58.45 Bn | - |
| 5 | Realty Income | 52.99 Bn | 51.21 Bn | - |
| 6 | Ventas | 43.55 Bn | 42.22 Bn | - |
| 7 | Extra Space Storage | 31.90 Bn | 31.90 Bn | - |
| 8 | Vici Properties | 26.83 Bn | 25.18 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.14 Bn | 22.92 Bn | - |
| 10 | Invitation Homes | 15.60 Bn | 15.20 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.23 Mn |
| Jun 30, 2026 | 29.33 Mn |
| Mar 31, 2026 | 32.32 Mn |
| Dec 31, 2025 | 23.70 Mn |
| Sep 30, 2025 | 18.44 Mn |
| Jun 30, 2025 | 23.59 Mn |
| Mar 31, 2025 | 29.52 Mn |
| Dec 31, 2024 | 23.94 Mn |
| Sep 30, 2024 | 21.73 Mn |
| Jun 30, 2024 | 21.50 Mn |
| Mar 31, 2024 | 23.45 Mn |
| Dec 31, 2023 | 22.39 Mn |
| Sep 30, 2023 | 22.71 Mn |
| Jun 30, 2023 | 19.79 Mn |
| Mar 31, 2023 | 17.45 Mn |
| Dec 31, 2022 | 16.92 Mn |
| Sep 30, 2022 | 20.12 Mn |
| Jun 30, 2022 | 19.34 Mn |
| Mar 31, 2022 | 17.64 Mn |
| Dec 31, 2021 | 19.67 Mn |
API Access
Invitation Homes General and Administrative 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=general-and-administrative&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();