Sonida Senior Living (SNDA) Accumulated Expenses (2010 - 2026)
Sonida Senior Living (SNDA) posted Accumulated Expenses of $59.86 million for Q2 2026, up 38.9% from $43.08 million a year earlier but down 9.9% from the prior quarter.
Sonida Senior Living (SNDA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Sonida Senior Living's Accumulated Expenses came in at $71.66 million, up 59.2% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Sonida Senior Living's Accumulated Expenses was $45.02 million in FY2024 (+6.2%), $42.39 million in FY2023 (+14.7%), $36.94 million in FY2022 (-0.2%) and $37.03 million in FY2021 (-23.7%).
- Quarterly Accumulated Expenses has run from a low of $31.86 million in Q1 2023 to a high of $71.66 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 12 quarters, with growth averaging 26.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2025, with growth of 59.2%; the weakest was Q4 2021, with a decline of 23.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $66.42 million (Q1 2026), $71.66 million (Q4 2025) and $55.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 93.08 Bn | 92.52 Bn | - |
| 2 | Natera | 58.93 Bn | 54.61 Bn | 485.19 Mn |
| 3 | Quest Diagnostics | 25.75 Bn | 24.18 Bn | 1.03 Bn |
| 4 | Labcorp Holdings | 24.96 Bn | 22.73 Bn | 1.11 Bn |
| 5 | Guardant Health | 23.76 Bn | 19.82 Bn | 219.03 Mn |
| 6 | Tenet Healthcare | 20.83 Bn | 11.98 Bn | - |
| 7 | Tempus AI | 13.43 Bn | 10.46 Bn | 246.50 Mn |
| 8 | BrightSpring Health Services | 11.90 Bn | 10.24 Bn | 492.75 Mn |
| 9 | Encompass Health | 11.82 Bn | 12.29 Bn | - |
| 10 | Sonida Senior Living | 1.79 Bn | 1.63 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.86 Mn |
| Mar 31, 2026 | 66.42 Mn |
| Dec 31, 2025 | 71.66 Mn |
| Sep 30, 2025 | 55.26 Mn |
| Jun 30, 2025 | 43.08 Mn |
| Mar 31, 2025 | 43.06 Mn |
| Dec 31, 2024 | 45.02 Mn |
| Sep 30, 2024 | 44.79 Mn |
| Jun 30, 2024 | 37.32 Mn |
| Mar 31, 2024 | 39.75 Mn |
| Dec 31, 2023 | 42.39 Mn |
| Sep 30, 2023 | 41.53 Mn |
| Jun 30, 2023 | 36.01 Mn |
| Mar 31, 2023 | 31.86 Mn |
| Dec 31, 2022 | 36.94 Mn |
| Sep 30, 2022 | 36.62 Mn |
| Dec 31, 2021 | 37.03 Mn |
| Sep 30, 2021 | 43.59 Mn |
| Jun 30, 2021 | 43.17 Mn |
| Mar 31, 2021 | 41.99 Mn |
Sonida Senior Living 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=SNDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SNDA", "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=SNDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();