Bioventus (BVS) Long-Term Debt Repayments (2020 - 2026)
Bioventus (BVS) recorded Long-Term Debt Repayments of $23.75 million in Q2 2026, up 375.0% from $5 million a year earlier and up 8.0% from the prior quarter.
Bioventus (BVS) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, Bioventus' Long-Term Debt Repayments came in at $80.75 million as of Jun 27, 2026, up 86.6% year-over-year; for FY2025, it came in at $45 million, up 0.9% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $44.58 million in FY2024 (-9.0%), $49 million in FY2023 (+96.0%), $25 million in FY2022 (-72.6%) and $91.25 million in FY2021 (+86.2%).
- Quarterly Long-Term Debt Repayments has ranged from $3.06 million in Q1 2024 to $80 million in Q4 2021 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last five quarters, with growth averaging 142.9%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 387.8% in Q2 2023, against a decline of 91.9% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $22 million (Q1 2026), $25 million (Q4 2025) and $10 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.37 Bn | 237.40 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.14 Bn | 145.57 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 166.00 Bn | 149.80 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 152.73 Bn | 132.16 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.76 Bn | 85.01 Bn | 6.34 Bn | - |
| 6 | Stryker | 115.60 Bn | 101.71 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.75 Bn | 60.52 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.00 Bn | 51.15 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.04 Bn | 35.05 Bn | 1.35 Bn | - |
| 10 | Bioventus | 978.67 Mn | 819.97 Mn | 105.67 Mn | 23.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 23.75 Mn |
| Mar 28, 2026 | 22.00 Mn |
| Dec 31, 2025 | -37.02 Mn |
| Sep 27, 2025 | 81.07 Mn |
| Jun 28, 2025 | 5.00 Mn |
| Mar 29, 2025 | 5.00 Mn |
| Dec 31, 2024 | 48.26 Mn |
| Jun 29, 2024 | 8.26 Mn |
| Mar 30, 2024 | 3.06 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jul 1, 2023 | 60.26 Mn |
| Apr 1, 2023 | 20.00 Mn |
| Dec 31, 2022 | 6.51 Mn |
| Oct 1, 2022 | 29.51 Mn |
| Jul 2, 2022 | 4.51 Mn |
| Apr 2, 2022 | 4.51 Mn |
| Dec 31, 2021 | 100.00 Mn |
| Oct 2, 2021 | 3.75 Mn |
| Jul 3, 2021 | 3.75 Mn |
| Apr 3, 2021 | 3.75 Mn |
Bioventus 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=BVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "BVS", "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=BVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();