Invitation Homes (INVH) Depreciation and Amortization (2016 - 2026)
Invitation Homes' Depreciation and Amortization came in at $194.3 million for Q2 2026, up 4.8% from $185.46 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Invitation Homes (INVH) Depreciation and Amortization (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Invitation Homes reported Depreciation and Amortization of $765.77 million, up 4.8% year-over-year; for FY2025, it was $746.93 million, up 4.6% from FY2024.
- Depreciation and Amortization has increased in each of the last six years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Going back by year, Depreciation and Amortization was $714.33 million in FY2024 (+5.9%), $674.29 million in FY2023 (+5.7%), $638.11 million in FY2022 (+7.8%) and $592.14 million in FY2021 (+7.2%).
- The Q2 2026 figure represents the highest quarterly Depreciation and Amortization in data going back to Q1 2016.
- Year-over-year, Depreciation and Amortization has increased for 27 consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Depreciation and Amortization ranged from 4.4% (Q4 2025) to 9.1% (Q2 2022).
- Business Quant data shows INVH's Depreciation and Amortization at $193.14 million (Q1 2026), $189.88 million (Q4 2025) and $188.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | D&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 174.93 Bn | 160.95 Bn | 1.47 Bn | 706.79 Mn |
| 2 | Prologis | 120.77 Bn | 114.73 Bn | - | 710.30 Mn |
| 3 | Simon Property | 71.26 Bn | 67.32 Bn | - | 459.88 Mn |
| 4 | Public Storage | 61.06 Bn | 59.79 Bn | - | 412.61 Mn |
| 5 | Realty Income | 53.37 Bn | 51.59 Bn | - | 644.68 Mn |
| 6 | Ventas | 44.69 Bn | 43.36 Bn | - | 446.01 Mn |
| 7 | Extra Space Storage | 32.65 Bn | 31.56 Bn | 650.96 Mn | 189.60 Mn |
| 8 | Vici Properties | 27.01 Bn | 25.36 Bn | 1.06 Bn | 876,000.00 |
| 9 | Vivmark Residential | 23.18 Bn | 22.96 Bn | - | 246.38 Mn |
| 10 | Invitation Homes | 15.61 Bn | 15.21 Bn | - | 195.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 195.75 Mn |
| Jun 30, 2026 | 194.30 Mn |
| Mar 31, 2026 | 193.14 Mn |
| Dec 31, 2025 | 189.88 Mn |
| Sep 30, 2025 | 188.46 Mn |
| Jun 30, 2025 | 185.46 Mn |
| Mar 31, 2025 | 183.15 Mn |
| Dec 31, 2024 | 181.91 Mn |
| Sep 30, 2024 | 180.48 Mn |
| Jun 30, 2024 | 176.62 Mn |
| Mar 31, 2024 | 175.31 Mn |
| Dec 31, 2023 | 173.16 Mn |
| Sep 30, 2023 | 170.70 Mn |
| Jun 30, 2023 | 165.76 Mn |
| Mar 31, 2023 | 164.67 Mn |
| Dec 31, 2022 | 163.32 Mn |
| Sep 30, 2022 | 160.43 Mn |
| Jun 30, 2022 | 158.57 Mn |
| Mar 31, 2022 | 155.80 Mn |
| Dec 31, 2021 | 151.66 Mn |
API Access
Invitation Homes Depreciation and Amortization 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=depreciation-and-amortization&ticker=INVH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=INVH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();