Welltower (WELL) Accumulated Expenses (2019 - 2026)
Welltower's (WELL) quarterly Accumulated Expenses came in at $2.5 billion in Q2 2026, up 25.77% year-over-year from $2.0 billion in Q2 2025, and up 7.99% quarter-over-quarter from $2.3 billion in Q1 2026.
Welltower (WELL) Accumulated Expenses (2019 - 2026) Analysis & Trends
Welltower (WELL) has reported Accumulated Expenses for 8 consecutive years, with $2.5 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 25.77% year-over-year to $2.5 billion in Q2 2026; TTM through Jun 2026 was $2.5 billion, a 25.77% increase from a year earlier, with the FY2025 full-year figure at $2.7 billion, up 58.74% from the prior year.
- Accumulated Expenses was $2.5 billion for Q2 2026 at Welltower, up from $2.3 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $2.7 billion in Q4 2025 and troughed at $1.4 billion in Q1 2024.
- A 5-year average of $1.9 billion and a median of $1.7 billion in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses declined 0.89% in 2023 and surged 58.74% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $1.5 billion in 2022, then slipped by 0.89% to $1.5 billion in 2023, then climbed by 12.6% to $1.7 billion in 2024, then surged by 58.74% to $2.7 billion in 2025, then slipped by 8.42% to $2.5 billion in 2026.
- The last three Accumulated Expenses figures came in at $2.5 billion (Q2 2026), $2.3 billion (Q1 2026), and $2.7 billion (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.49 Bn |
| Mar 31, 2026 | 2.31 Bn |
| Dec 31, 2025 | 2.72 Bn |
| Sep 30, 2025 | 2.03 Bn |
| Jun 30, 2025 | 1.98 Bn |
| Mar 31, 2025 | 1.70 Bn |
| Dec 31, 2024 | 1.71 Bn |
| Sep 30, 2024 | 1.73 Bn |
| Jun 30, 2024 | 1.52 Bn |
| Mar 31, 2024 | 1.42 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Dec 31, 2022 | 1.54 Bn |
| Dec 31, 2021 | 1.24 Bn |
| Dec 31, 2020 | 1.04 Bn |
| Dec 31, 2019 | 1.01 Bn |
Welltower Accumulated Expenses 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=accumulated-expenses&ticker=WELL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "WELL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=WELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();