Ensign (ENSG) Change in Accrued Expenses (2009 - 2026)
Ensign (ENSG) posted Change in Accrued Expenses of $55.23 million for Q3 2026, up 22.5% from $45.07 million a year earlier but down 5.2% from the prior quarter.
Ensign (ENSG) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Accrued Expenses at Ensign was $71.09 million, up 219.7% year-over-year; for FY2025, it came in at $82.81 million, up 314.2% from FY2024.
- Annual Change in Accrued Expenses shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In prior years, Ensign's Change in Accrued Expenses was $19.99 million in FY2024 (-58.3%), $47.97 million in FY2023 (+23.0%), $38.98 million in FY2022 (-18.3%) and $47.7 million in FY2021 (-30.2%).
- Quarterly Change in Accrued Expenses has run from a low of -$97.66 million in Q1 2026 to a high of $58.26 million in Q2 2026 over five years.
- The strongest year-over-year quarter for Change in Accrued Expenses in the past five years was Q2 2025, with growth of 38.7%; the weakest was Q4 2022, with a decline of 26.5%.
- According to Business Quant data, Change in Accrued Expenses for the three prior quarters was $58.26 million (Q2 2026), -$97.66 million (Q1 2026) and $55.26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 106.37 Bn | 104.21 Bn | 17.03 Bn | 769.00 Mn |
| 2 | Natera | 45.03 Bn | 40.66 Bn | 513.47 Mn | 7.92 Mn |
| 3 | Labcorp Holdings | 30.12 Bn | 28.22 Bn | 1.11 Bn | -53.00 Mn |
| 4 | Quest Diagnostics | 28.44 Bn | 26.52 Bn | 1.04 Bn | 114.00 Mn |
| 5 | Guardant Health | 20.93 Bn | 16.54 Bn | 236.15 Mn | 41.71 Mn |
| 6 | BrightSpring Health Services | 14.41 Bn | 11.29 Bn | 518.55 Mn | 19.24 Mn |
| 7 | Tempus AI | 14.27 Bn | 11.42 Bn | 266.70 Mn | 38.55 Mn |
| 8 | Encompass Health | 13.98 Bn | 14.44 Bn | 1.54 Bn | - |
| 9 | Davita | 11.35 Bn | 10.22 Bn | 1.13 Bn | 43.65 Mn |
| 10 | Ensign | 10.80 Bn | 8.92 Bn | 317.20 Mn | 55.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.23 Mn |
| Jun 30, 2026 | 58.26 Mn |
| Mar 31, 2026 | -97.66 Mn |
| Dec 31, 2025 | 55.26 Mn |
| Sep 30, 2025 | 45.07 Mn |
| Jun 30, 2025 | 42.50 Mn |
| Mar 31, 2025 | -60.02 Mn |
| Dec 31, 2024 | -5.31 Mn |
| Sep 30, 2024 | 33.65 Mn |
| Jun 30, 2024 | 30.64 Mn |
| Mar 31, 2024 | -38.98 Mn |
| Dec 31, 2023 | 23.27 Mn |
| Sep 30, 2023 | 25.69 Mn |
| Jun 30, 2023 | 27.66 Mn |
| Mar 31, 2023 | -28.65 Mn |
| Dec 31, 2022 | 24.68 Mn |
| Sep 30, 2022 | 19.47 Mn |
| Jun 30, 2022 | 23.83 Mn |
| Mar 31, 2022 | -28.99 Mn |
| Dec 31, 2021 | 33.59 Mn |
Ensign Change in Accrued 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=change-in-accured-expenses&ticker=ENSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ENSG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=ENSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();