Quest Diagnostics (DGX) Capital Expenditures (2009 - 2026)
Quest Diagnostics' Capital Expenditures was $138 million in Q2 2026, up 27.8% from $108 million a year earlier and up 21.1% from the prior quarter.
Quest Diagnostics (DGX) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quest Diagnostics' Capital Expenditures was $554 million through Jun 30, 2026, up 22.0% year-over-year; for FY2025, it was $527 million, up 24.0% from FY2024.
- Capital Expenditures has now increased for four consecutive years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $425 million in FY2024 (+4.2%), $408 million in FY2023 (+1.0%), $404 million in FY2022 (+0.2%) and $403 million in FY2021 (-3.6%).
- Quarterly Capital Expenditures has moved between $63 million (Q1 2022) and $158 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in seven of the last eight quarters, with growth averaging 23.9%.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2023 (growth of 101.6%); the worst was Q4 2023 (a decline of 51.0%).
- Per Business Quant data, DGX's Capital Expenditures in the three quarters before Q2 2026 was $114 million (Q1 2026), $158 million (Q4 2025) and $144 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.72 Bn | 99.73 Bn | - | 1.23 Bn |
| 2 | Natera | 57.05 Bn | 52.73 Bn | 485.19 Mn | 63.43 Mn |
| 3 | Labcorp Holdings | 26.09 Bn | 23.84 Bn | 1.11 Bn | 131.60 Mn |
| 4 | Quest Diagnostics | 26.04 Bn | 24.16 Bn | 1.03 Bn | 138.00 Mn |
| 5 | Tenet Healthcare | 22.70 Bn | 11.71 Bn | - | 168.00 Mn |
| 6 | Guardant Health | 21.64 Bn | 17.71 Bn | 219.03 Mn | 11.76 Mn |
| 7 | BrightSpring Health Services | 13.03 Bn | 11.36 Bn | 492.75 Mn | 29.03 Mn |
| 8 | Fresenius Medical Care AG | 12.50 Bn | 4.45 Bn | 1.52 Bn | 279.43 Mn |
| 9 | Encompass Health | 12.47 Bn | 12.13 Bn | - | 220.30 Mn |
| 10 | Tempus AI | 12.37 Bn | 9.40 Bn | 246.50 Mn | 6.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.00 Mn |
| Mar 31, 2026 | 114.00 Mn |
| Dec 31, 2025 | 158.00 Mn |
| Sep 30, 2025 | 144.00 Mn |
| Jun 30, 2025 | 108.00 Mn |
| Mar 31, 2025 | 117.00 Mn |
| Dec 31, 2024 | 123.00 Mn |
| Sep 30, 2024 | 106.00 Mn |
| Jun 30, 2024 | 92.00 Mn |
| Mar 31, 2024 | 104.00 Mn |
| Dec 31, 2023 | 72.00 Mn |
| Sep 30, 2023 | 105.00 Mn |
| Jun 30, 2023 | 104.00 Mn |
| Mar 31, 2023 | 127.00 Mn |
| Dec 31, 2022 | 147.00 Mn |
| Sep 30, 2022 | 118.00 Mn |
| Jun 30, 2022 | 76.00 Mn |
| Mar 31, 2022 | 63.00 Mn |
| Dec 31, 2021 | 144.00 Mn |
| Sep 30, 2021 | 89.00 Mn |
Quest Diagnostics Capital Expenditures 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=capital-expenditures&ticker=DGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();