Orasure Technologies (OSUR) Long-Term Debt Repayments (2010 - 2025)
Orasure Technologies (OSUR) posted Long-Term Debt Repayments of $17,000 for Q3 2025, down 97.3% from $639,000 a year earlier but up 21.4% from the prior quarter.
Orasure Technologies (OSUR) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Long-Term Debt Repayments at Orasure Technologies was $139,000, down 88.9% year-over-year; for FY2024, it came in at $842,000, down 37.4% from FY2023.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 3.1% (FY2019 to FY2024).
- In prior years, Orasure Technologies' Long-Term Debt Repayments was $1.35 million in FY2023 (-2.6%), $1.38 million in FY2022 (+101.3%), $686,000 in FY2021 (-0.1%) and $687,000 in FY2020 (-5.1%).
- Quarterly Long-Term Debt Repayments has run from a low of -$425,000 in Q4 2021 to a high of $639,000 in Q3 2024 over five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last four quarters, with an average decline of 55.9% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2021, with growth of 259.9%; the weakest was Q3 2025, with a decline of 97.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $14,000 (Q2 2025), $12,000 (Q1 2025) and $96,000 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Orasure Technologies | 280.70 Mn | -617.20 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 17,000.00 |
| Jun 30, 2025 | 14,000.00 |
| Mar 31, 2025 | 12,000.00 |
| Dec 31, 2024 | 96,000.00 |
| Sep 30, 2024 | 639,000.00 |
| Jun 30, 2024 | 57,000.00 |
| Mar 31, 2024 | 50,000.00 |
| Dec 31, 2023 | 510,000.00 |
| Sep 30, 2023 | 515,000.00 |
| Jun 30, 2023 | 172,000.00 |
| Mar 31, 2023 | 148,000.00 |
| Dec 31, 2022 | 555,000.00 |
| Sep 30, 2022 | 434,000.00 |
| Jun 30, 2022 | 239,000.00 |
| Mar 31, 2022 | 153,000.00 |
| Dec 31, 2021 | -425,000.00 |
| Sep 30, 2021 | 601,000.00 |
| Jun 30, 2021 | 228,000.00 |
| Mar 31, 2021 | 282,000.00 |
| Dec 31, 2020 | 166,000.00 |
Orasure Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=OSUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=OSUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();