Quest Diagnostics (DGX) Change in Accrued Expenses (2009 - 2026)
Quest Diagnostics (DGX) recorded Change in Accrued Expenses of $114 million in Q3 2026, down 8.1% from $124 million a year earlier and down 19.7% from the prior quarter.
Quest Diagnostics (DGX) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Quest Diagnostics' Change in Accrued Expenses came in at $260 million as of Sep 30, 2026, up 75.7% year-over-year; for FY2025, it was $129 million.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of -22.2% (FY2020 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at -$67 million in FY2024, -$55 million in FY2023, -$149 million in FY2022 and $35 million in FY2021 (-92.3%).
- Quarterly Change in Accrued Expenses has ranged from -$211 million in Q1 2023 to $176 million in Q4 2023 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in two of the last five quarters, with growth averaging 19.6%.
- Peak year-over-year performance for Change in Accrued Expenses in the last five years was growth of 780.0% in Q4 2023, against a decline of 86.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $142 million (Q2 2026), -$12 million (Q1 2026) and $16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 106.13 Bn | 102.23 Bn | - | 769.00 Mn |
| 2 | Natera | 44.93 Bn | 40.56 Bn | 513.47 Mn | 7.92 Mn |
| 3 | Labcorp Holdings | 29.97 Bn | 28.06 Bn | 1.11 Bn | -53.00 Mn |
| 4 | Quest Diagnostics | 28.09 Bn | 25.85 Bn | 1.04 Bn | 114.00 Mn |
| 5 | Tenet Healthcare | 22.72 Bn | 12.03 Bn | - | -404.00 Mn |
| 6 | Guardant Health | 20.11 Bn | 15.73 Bn | 236.15 Mn | 41.71 Mn |
| 7 | BrightSpring Health Services | 13.90 Bn | 11.66 Bn | 518.55 Mn | 19.24 Mn |
| 8 | Tempus AI | 13.80 Bn | 10.95 Bn | 266.70 Mn | 38.55 Mn |
| 9 | Encompass Health | 13.52 Bn | 13.15 Bn | - | - |
| 10 | Davita | 12.21 Bn | 9.59 Bn | 1.13 Bn | 43.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 114.00 Mn |
| Jun 30, 2026 | 142.00 Mn |
| Mar 31, 2026 | -12.00 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 30, 2025 | 124.00 Mn |
| Jun 30, 2025 | 42.00 Mn |
| Mar 31, 2025 | -53.00 Mn |
| Dec 31, 2024 | 35.00 Mn |
| Sep 30, 2024 | 9.00 Mn |
| Jun 30, 2024 | 41.00 Mn |
| Mar 31, 2024 | -152.00 Mn |
| Dec 31, 2023 | 176.00 Mn |
| Sep 30, 2023 | -75.00 Mn |
| Jun 30, 2023 | 55.00 Mn |
| Mar 31, 2023 | -211.00 Mn |
| Dec 31, 2022 | 20.00 Mn |
| Sep 30, 2022 | 32.00 Mn |
| Jun 30, 2022 | -36.00 Mn |
| Mar 31, 2022 | -165.00 Mn |
| Dec 31, 2021 | -1.00 Mn |
Quest Diagnostics 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=DGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "DGX", "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=DGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();