Orasure Technologies (OSUR) Price to Earnings (2014 - 2024)
Orasure Technologies' Price to Earnings came in at 154860.20 for Q4 2025.
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Analysis
Orasure Technologies (OSUR) Price to Earnings (2014 - 2024) Analysis & Trends
Going back to Q2 2014, Orasure Technologies' Price to Earnings data covers 35 quarters.
- Going back by year, Price to Earnings was 11.24 in FY2023.
- The Q4 2025 figure represents the highest quarterly Price to Earnings in data going back to Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.56 Bn | 227.59 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 180.15 Bn | 150.58 Bn | 7.27 Bn |
| 3 | Danaher | 159.92 Bn | 143.72 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 158.14 Bn | 138.43 Bn | 2.08 Bn |
| 5 | Medtronic | 122.76 Bn | 88.02 Bn | 6.34 Bn |
| 6 | Stryker | 118.18 Bn | 104.30 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.82 Bn | 61.59 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.78 Bn | 51.93 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.82 Bn | 35.83 Bn | 1.35 Bn |
| 10 | Orasure Technologies | 300.41 Mn | -597.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 28.02 |
| Jun 30, 2024 | 11.75 |
| Mar 31, 2024 | 19.90 |
| Dec 31, 2023 | 11.24 |
| Sep 30, 2023 | 8.82 |
| Jun 30, 2023 | 8.39 |
| Mar 31, 2023 | 14.76 |
| Dec 31, 2022 | 11.68 |
| Sep 30, 2022 | 71.82 |
| Mar 31, 2022 | 1,096.74 |
| Jun 30, 2021 | 137.51 |
| Mar 31, 2020 | 53.03 |
| Dec 31, 2019 | 29.76 |
| Sep 30, 2019 | 18.81 |
| Jun 30, 2019 | 29.32 |
| Mar 31, 2019 | 35.71 |
| Dec 31, 2018 | 35.09 |
| Sep 30, 2018 | 54.33 |
| Jun 30, 2018 | 66.81 |
| Mar 31, 2018 | 62.92 |
API Access
Orasure Technologies Price to Earnings 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=price-to-earnings&ticker=OSUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=OSUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();