Enovis (ENOV) Long-Term Debt Repayments (2010 - 2026)
Enovis (ENOV) recorded Long-Term Debt Repayments of $66.38 million in Q2 2026, up 49.0% from $44.56 million a year earlier and up 86.9% from the prior quarter.
Enovis (ENOV) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Enovis' Long-Term Debt Repayments came in at $604.08 million as of Jul 3, 2026, up 398.0% year-over-year; for FY2025, it came in at $557.18 million, up 8.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 69.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $512.77 million in FY2024 (+7.2%), $478.34 million in FY2023 (-30.3%), $686.28 million in FY2022 (-2.0%) and $700 million in FY2021.
- Quarterly Long-Term Debt Repayments has ranged from -$176.12 million in Q3 2022 to $785 million in Q2 2022 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has increased for three consecutive quarters, with growth averaging 141.2% over the last seven quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 539.1% in Q4 2025, against a decline of 99.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.52 million (Q1 2026), $420.31 million (Q4 2025) and $81.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.18 Bn | 230.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.68 Bn | 149.11 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 162.21 Bn | 146.02 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.92 Bn | 134.21 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.62 Bn | 87.87 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.35 Bn | 103.46 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.39 Bn | 62.15 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.43 Bn | 51.58 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.41 Bn | 35.42 Bn | 1.35 Bn | - |
| 10 | Enovis | 1.23 Bn | 1.11 Bn | 359.25 Mn | 66.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 66.38 Mn |
| Apr 3, 2026 | 35.52 Mn |
| Dec 31, 2025 | 420.31 Mn |
| Oct 3, 2025 | 81.87 Mn |
| Jul 4, 2025 | 44.56 Mn |
| Apr 4, 2025 | 10.44 Mn |
| Dec 31, 2024 | 65.77 Mn |
| Sep 27, 2024 | 526,000.00 |
| Jun 28, 2024 | 444.52 Mn |
| Mar 29, 2024 | 1.96 Mn |
| Dec 31, 2023 | 430.99 Mn |
| Sep 29, 2023 | 35.81 Mn |
| Jun 30, 2023 | 5.87 Mn |
| Mar 31, 2023 | 5.67 Mn |
| Dec 31, 2022 | 26.01 Mn |
| Sep 30, 2022 | -176.12 Mn |
| Jul 1, 2022 | 1.47 Bn |
| Dec 31, 2021 | 417.53 Mn |
| Oct 2, 2020 | 40.00 Mn |
| Dec 31, 2019 | 854.06 Mn |
Enovis 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=ENOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ENOV", "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=ENOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();