Biodesix (BDSX) Operating Expenses (2019 - 2026)
Biodesix (BDSX) posted Operating Expenses of $32.25 million for Q2 2026, up 8.4% from $29.74 million a year earlier and up 1.6% from the prior quarter.
Biodesix (BDSX) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Biodesix was $123.55 million, up 11.7% year-over-year; for FY2025, it came in at $116.37 million, up 10.0% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior years, Biodesix's Operating Expenses was $105.82 million in FY2024 (+17.0%), $90.43 million in FY2023 (+1.8%), $88.8 million in FY2022 (-7.0%) and $95.45 million in FY2021 (+39.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2021.
- On a year-over-year basis, Operating Expenses has increased in each of the last ten quarters, with growth averaging 15.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 29.4%; the weakest was Q1 2022, with a decline of 39.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $31.76 million (Q1 2026), $30.72 million (Q4 2025) and $28.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 17.74 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 1.31 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 2.98 Bn |
| 10 | Biodesix | 320.93 Mn | 229.77 Mn | 22.04 Mn | 32.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.25 Mn |
| Mar 31, 2026 | 31.76 Mn |
| Dec 31, 2025 | 30.72 Mn |
| Sep 30, 2025 | 28.82 Mn |
| Jun 30, 2025 | 29.74 Mn |
| Mar 31, 2025 | 27.09 Mn |
| Dec 31, 2024 | 27.08 Mn |
| Sep 30, 2024 | 26.74 Mn |
| Jun 30, 2024 | 26.16 Mn |
| Mar 31, 2024 | 25.84 Mn |
| Dec 31, 2023 | 21.54 Mn |
| Sep 30, 2023 | 20.66 Mn |
| Jun 30, 2023 | 22.80 Mn |
| Mar 31, 2023 | 25.43 Mn |
| Dec 31, 2022 | 23.50 Mn |
| Sep 30, 2022 | 21.72 Mn |
| Jun 30, 2022 | 22.58 Mn |
| Mar 31, 2022 | 21.01 Mn |
| Dec 31, 2021 | 18.90 Mn |
| Sep 30, 2021 | 19.62 Mn |
Biodesix 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=BDSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BDSX", "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=BDSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();