Quest Diagnostics (DGX) Interest Expenses (2009 - 2026)
Quest Diagnostics (DGX) reported Interest Expenses of $68 million for Q2 2026, down 1.4% from $69 million a year earlier but up 4.6% from the prior quarter.
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Analysis
Quest Diagnostics (DGX) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Quest Diagnostics' Interest Expenses came in at $269 million, down 0.7% year-over-year; for FY2025, it was $277 million, up 22.6% from FY2024.
- Interest Expenses has increased for three consecutive years, with a three-year compound annual growth rate of 23.2% (FY2022 to FY2025).
- By year, Interest Expenses came in at $226 million in FY2024 (+38.7%), $163 million in FY2023 (+10.1%) and $148 million in FY2022.
- Five-year quarterly Interest Expenses spans a low of $41 million in Q3 2023 and a high of $72 million in Q1 2025.
- Year over year, Interest Expenses has now declined in each of the last three quarters, with growth averaging 24.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q4 2024 (growth of 56.5%); the low point was Q1 2026 (a decline of 9.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $65 million (Q1 2026), $67 million (Q4 2025) and $69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.72 Bn | 99.73 Bn | - | 599.00 Mn |
| 2 | Natera | 57.05 Bn | 52.73 Bn | 485.19 Mn | 890,000.00 |
| 3 | Labcorp Holdings | 26.09 Bn | 23.84 Bn | 1.11 Bn | 61.10 Mn |
| 4 | Quest Diagnostics | 26.04 Bn | 24.16 Bn | 1.03 Bn | 68.00 Mn |
| 5 | Tenet Healthcare | 22.70 Bn | 11.71 Bn | - | 204.00 Mn |
| 6 | Guardant Health | 21.64 Bn | 17.71 Bn | 219.03 Mn | 1.35 Mn |
| 7 | BrightSpring Health Services | 13.03 Bn | 11.36 Bn | 492.75 Mn | 36.88 Mn |
| 8 | Fresenius Medical Care AG | 12.50 Bn | 4.45 Bn | 1.52 Bn | 113.39 Mn |
| 9 | Encompass Health | 12.47 Bn | 12.13 Bn | - | 32.80 Mn |
| 10 | Tempus AI | 12.37 Bn | 9.40 Bn | 246.50 Mn | 10.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.00 Mn |
| Mar 31, 2026 | 65.00 Mn |
| Dec 31, 2025 | 67.00 Mn |
| Sep 30, 2025 | 69.00 Mn |
| Jun 30, 2025 | 69.00 Mn |
| Mar 31, 2025 | 72.00 Mn |
| Dec 31, 2024 | 72.00 Mn |
| Sep 30, 2024 | 58.00 Mn |
| Jun 30, 2024 | 47.00 Mn |
| Mar 31, 2024 | 49.00 Mn |
| Dec 31, 2023 | 46.00 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Dec 31, 2014 | 42.00 Mn |
| Sep 30, 2014 | 41.00 Mn |
| Jun 30, 2014 | 42.00 Mn |
| Mar 31, 2014 | 39.00 Mn |
| Dec 31, 2013 | 39.00 Mn |
| Sep 30, 2013 | 40.00 Mn |
| Jun 30, 2013 | 40.00 Mn |
| Mar 31, 2013 | 40.00 Mn |
API Access
Quest Diagnostics Interest 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=interest-expenses&ticker=DGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=DGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();