Quest Diagnostics (DGX) Accumulated Expenses (2010 - 2025)
Quest Diagnostics' Accumulated Expenses came in at $338 million for Q4 2025, up 10.5% from $306 million a year earlier.
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Analysis
Quest Diagnostics (DGX) Accumulated Expenses (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Quest Diagnostics' Accumulated Expenses data covers 14 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $306 million in FY2024 (+6.6%), $287 million in FY2023 (-26.8%), $392 million in FY2022 (-14.8%) and $460 million in FY2021 (+29.2%).
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 103.46 Bn | 99.47 Bn | - |
| 2 | Natera | 57.12 Bn | 52.81 Bn | 485.19 Mn |
| 3 | Labcorp Holdings | 25.99 Bn | 23.74 Bn | 1.11 Bn |
| 4 | Quest Diagnostics | 25.96 Bn | 24.09 Bn | 1.03 Bn |
| 5 | Tenet Healthcare | 22.80 Bn | 11.80 Bn | - |
| 6 | Guardant Health | 21.63 Bn | 17.69 Bn | 219.03 Mn |
| 7 | BrightSpring Health Services | 13.01 Bn | 11.34 Bn | 492.75 Mn |
| 8 | Encompass Health | 12.46 Bn | 12.13 Bn | - |
| 9 | Tempus AI | 12.46 Bn | 9.49 Bn | 246.50 Mn |
| 10 | Fresenius Medical Care AG | 12.45 Bn | 4.41 Bn | 1.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 338.00 Mn |
| Dec 31, 2024 | 306.00 Mn |
| Dec 31, 2023 | 287.00 Mn |
| Dec 31, 2022 | 392.00 Mn |
| Dec 31, 2021 | 460.00 Mn |
| Dec 31, 2020 | 356.00 Mn |
| Dec 31, 2019 | 223.00 Mn |
| Dec 31, 2018 | 274.00 Mn |
| Dec 31, 2017 | 246.00 Mn |
| Dec 31, 2016 | 254.00 Mn |
| Dec 31, 2015 | 257.00 Mn |
| Dec 31, 2014 | 277.00 Mn |
| Dec 31, 2011 | 348.03 Mn |
| Dec 31, 2010 | 337.07 Mn |
API Access
Quest Diagnostics 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=DGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();