Orasure Technologies (OSUR) Finished Goods (2012 - 2023)
Orasure Technologies' Finished Goods was $39.4 million in Q1 2023, up 109.4% from $18.82 million a year earlier but down 22.6% from the prior quarter.
Orasure Technologies (OSUR) Finished Goods (2012 - 2023) Analysis & Trends
At the end of FY2022, Finished Goods at Orasure Technologies came in at $50.92 million, up 187.4% from FY2021.
- Finished Goods has now increased for four consecutive years, with a five-year compound annual growth rate of 41.9% (FY2017 to FY2022).
- In earlier years, Finished Goods was $17.72 million in FY2021 (+27.8%), $13.87 million in FY2020 (+66.2%), $8.34 million in FY2019 (+1.1%) and $8.25 million in FY2018 (-6.7%).
- Quarterly Finished Goods has moved between $7.82 million (Q3 2018) and $50.92 million (Q4 2022) over five years.
- Compared with a year earlier, Finished Goods has increased for four straight quarters, with growth averaging 72.7% over the last eight quarters.
- The best year-over-year quarter for Finished Goods over five years was Q4 2022 (growth of 187.4%); the worst was Q1 2020 (a decline of 19.1%).
- Per Business Quant data, OSUR's Finished Goods in the three quarters before Q1 2023 was $50.92 million (Q4 2022), $39.17 million (Q3 2022) and $31.66 million (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Orasure Technologies | 273.77 Mn | -624.14 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 39.40 Mn |
| Dec 31, 2022 | 50.92 Mn |
| Sep 30, 2022 | 39.17 Mn |
| Jun 30, 2022 | 31.66 Mn |
| Mar 31, 2022 | 18.82 Mn |
| Dec 31, 2021 | 17.72 Mn |
| Sep 30, 2021 | 22.62 Mn |
| Jun 30, 2021 | 22.99 Mn |
| Mar 31, 2021 | 21.01 Mn |
| Dec 31, 2020 | 13.87 Mn |
| Sep 30, 2020 | 13.30 Mn |
| Jun 30, 2020 | 12.30 Mn |
| Mar 31, 2020 | 7.90 Mn |
| Dec 31, 2019 | 8.34 Mn |
| Sep 30, 2019 | 9.78 Mn |
| Jun 30, 2019 | 9.47 Mn |
| Mar 31, 2019 | 9.77 Mn |
| Dec 31, 2018 | 8.25 Mn |
| Sep 30, 2018 | 7.82 Mn |
| Jun 30, 2018 | 8.64 Mn |
Orasure Technologies Finished Goods 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=finished-goods&ticker=OSUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=OSUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();