Interpace Biosciences (IDXG) Operating Expenses (2010 - 2026)
Interpace Biosciences (IDXG) reported Operating Expenses of $5.33 million for Q2 2026, down 7.2% from $5.74 million a year earlier but up 11.5% from the prior quarter.
Interpace Biosciences (IDXG) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Interpace Biosciences' Operating Expenses came in at $18.87 million, down 17.0% year-over-year; for FY2025, it was $20.05 million, down 8.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $21.82 million in FY2024 (+3.4%), $21.1 million in FY2023 (-3.4%), $21.85 million in FY2022 (-13.1%) and $25.14 million in FY2021 (-31.7%).
- Five-year quarterly Operating Expenses spans a low of $4.29 million in Q3 2025 and a high of $6.35 million in Q4 2021.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with an average decline of 2.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 21.2%); the low point was Q4 2021 (a decline of 42.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.78 million (Q1 2026), $4.47 million (Q4 2025) and $4.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.18 Bn | 99.19 Bn | - | 17.74 Bn |
| 2 | Natera | 57.81 Bn | 53.49 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Labcorp Holdings | 26.94 Bn | 24.69 Bn | 1.11 Bn | 582.30 Mn |
| 4 | Quest Diagnostics | 26.85 Bn | 24.98 Bn | 1.03 Bn | 2.58 Bn |
| 5 | Guardant Health | 22.51 Bn | 18.57 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 22.37 Bn | 11.37 Bn | - | - |
| 7 | Fresenius Medical Care AG | 13.20 Bn | 5.15 Bn | 1.52 Bn | 901.58 Mn |
| 8 | BrightSpring Health Services | 12.39 Bn | 10.72 Bn | 492.75 Mn | 362.36 Mn |
| 9 | Encompass Health | 12.26 Bn | 11.92 Bn | - | 1.31 Bn |
| 10 | Interpace Biosciences | 180.06 Mn | 170.78 Mn | 5.65 Mn | 5.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.33 Mn |
| Mar 31, 2026 | 4.78 Mn |
| Dec 31, 2025 | 4.47 Mn |
| Sep 30, 2025 | 4.29 Mn |
| Jun 30, 2025 | 5.74 Mn |
| Mar 31, 2025 | 5.54 Mn |
| Dec 31, 2024 | 5.85 Mn |
| Sep 30, 2024 | 5.60 Mn |
| Jun 30, 2024 | 5.17 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 4.82 Mn |
| Sep 30, 2023 | 4.97 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 5.30 Mn |
| Dec 31, 2022 | 4.96 Mn |
| Sep 30, 2022 | 5.51 Mn |
| Jun 30, 2022 | 5.74 Mn |
| Mar 31, 2022 | 5.64 Mn |
| Dec 31, 2021 | 6.35 Mn |
| Sep 30, 2021 | 6.26 Mn |
Interpace Biosciences Operating 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=operating-expenses&ticker=IDXG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IDXG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=IDXG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();