Orasure Technologies (OSUR) Operating Expenses (2010 - 2025)
Orasure Technologies (OSUR) recorded Operating Expenses of $27.86 million in Q3 2025, up 20.8% from $23.07 million a year earlier but down 10.7% from the prior quarter.
Powered by 
Analysis
Orasure Technologies (OSUR) Operating Expenses (2010 - 2025) Analysis & Trends
On a TTM basis, Orasure Technologies' Operating Expenses came in at $115.08 million as of Sep 30, 2025, up 1.9% year-over-year; for FY2024, it was $107.64 million, down 22.5% from FY2023.
- Annual Operating Expenses has a five-year compound annual growth rate of 7.2% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $138.97 million in FY2023 (-18.5%), $170.59 million in FY2022 (+33.5%), $127.76 million in FY2021 (+19.4%) and $107.05 million in FY2020 (+40.9%).
- Quarterly Operating Expenses has ranged from $23.07 million in Q3 2024 to $49.27 million in Q2 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 8.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 70.6% in Q2 2022, against a decline of 33.5% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.19 million (Q2 2025), $30.05 million (Q1 2025) and $25.98 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Orasure Technologies | 273.77 Mn | -624.14 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 27.86 Mn |
| Jun 30, 2025 | 31.19 Mn |
| Mar 31, 2025 | 30.05 Mn |
| Dec 31, 2024 | 25.98 Mn |
| Sep 30, 2024 | 23.07 Mn |
| Jun 30, 2024 | 27.43 Mn |
| Mar 31, 2024 | 31.16 Mn |
| Dec 31, 2023 | 31.23 Mn |
| Sep 30, 2023 | 33.45 Mn |
| Jun 30, 2023 | 32.80 Mn |
| Mar 31, 2023 | 41.49 Mn |
| Dec 31, 2022 | 35.21 Mn |
| Sep 30, 2022 | 45.65 Mn |
| Jun 30, 2022 | 49.27 Mn |
| Mar 31, 2022 | 40.47 Mn |
| Dec 31, 2021 | 36.50 Mn |
| Sep 30, 2021 | 34.48 Mn |
| Jun 30, 2021 | 28.88 Mn |
| Mar 31, 2021 | 27.90 Mn |
| Dec 31, 2020 | 30.30 Mn |
API Access
Orasure Technologies 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=OSUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OSUR", "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=OSUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();