Maravai Lifesciences Holdings (MRVI) Long-Term Debt Repayments (2020 - 2026)
Maravai Lifesciences Holdings (MRVI) recorded Long-Term Debt Repayments of $242.88 million in Q2 2026, compared with $1.36 million a year earlier and up 372.9% from the prior quarter.
Maravai Lifesciences Holdings (MRVI) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, Maravai Lifesciences Holdings' Long-Term Debt Repayments came in at $296.96 million as of Jun 30, 2026, up 26.7% year-over-year; for FY2025, it was $5.44 million, down 97.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -57.9% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $234.39 million in FY2024, $5.44 million in FY2023 (-60.8%), $13.9 million in FY2022 (+131.6%) and $6 million in FY2021 (-98.5%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q4 2020.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last five quarters, with growth averaging 179.5%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 996.8% in Q3 2024, against a decline of 99.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.36 million (Q1 2026), $1.36 million (Q4 2025) and $1.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 1.41 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 | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Maravai Lifesciences Holdings | 1.07 Bn | 370.57 Mn | 20.65 Mn | 242.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 242.88 Mn |
| Mar 31, 2026 | 51.36 Mn |
| Dec 31, 2025 | 790,000.00 |
| Sep 30, 2025 | 1.93 Mn |
| Jun 30, 2025 | 1.36 Mn |
| Mar 31, 2025 | 1.36 Mn |
| Dec 31, 2024 | 229.86 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2024 | 1.51 Mn |
| Dec 31, 2023 | 1.17 Mn |
| Sep 30, 2023 | 124,000.00 |
| Jun 30, 2023 | 66,000.00 |
| Mar 31, 2023 | 1.36 Mn |
| Dec 31, 2022 | 1.36 Mn |
| Mar 31, 2022 | 9.82 Mn |
| Dec 31, 2021 | 1.50 Mn |
| Sep 30, 2021 | 1.50 Mn |
| Jun 30, 2021 | 1.50 Mn |
| Mar 31, 2021 | 1.50 Mn |
Maravai Lifesciences Holdings 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=MRVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MRVI", "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=MRVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();