Maravai Lifesciences Holdings (MRVI) Total Current Liabilities (2020 - 2026)
Maravai Lifesciences Holdings' Total Current Liabilities was $38.42 million in Q2 2026, down 44.9% from $69.68 million a year earlier and down 9.9% from the prior quarter.
Maravai Lifesciences Holdings (MRVI) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Maravai Lifesciences Holdings came in at $44.92 million, down 21.2% from FY2024.
- Total Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -19.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $56.97 million in FY2024 (-34.9%), $87.47 million in FY2023 (-20.6%), $110.14 million in FY2022 (+17.5%) and $93.78 million in FY2021 (-28.3%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Current Liabilities has declined for four straight quarters, with an average decline of 18.3% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2023 (growth of 44.1%); the worst was Q1 2024 (a decline of 52.7%).
- Per Business Quant data, MRVI's Total Current Liabilities in the three quarters before Q2 2026 was $42.62 million (Q1 2026), $44.92 million (Q4 2025) and $61.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Maravai Lifesciences Holdings | 1.98 Bn | 1.44 Bn | 20.65 Mn | 38.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.42 Mn |
| Mar 31, 2026 | 42.62 Mn |
| Dec 31, 2025 | 44.92 Mn |
| Sep 30, 2025 | 61.57 Mn |
| Jun 30, 2025 | 69.68 Mn |
| Mar 31, 2025 | 63.16 Mn |
| Dec 31, 2024 | 56.97 Mn |
| Sep 30, 2024 | 63.71 Mn |
| Jun 30, 2024 | 68.62 Mn |
| Mar 31, 2024 | 59.02 Mn |
| Dec 31, 2023 | 87.47 Mn |
| Sep 30, 2023 | 78.25 Mn |
| Jun 30, 2023 | 74.92 Mn |
| Mar 31, 2023 | 124.90 Mn |
| Dec 31, 2022 | 110.14 Mn |
| Sep 30, 2022 | 115.66 Mn |
| Jun 30, 2022 | 112.53 Mn |
| Mar 31, 2022 | 86.68 Mn |
| Dec 31, 2021 | 93.78 Mn |
| Sep 30, 2021 | 114.35 Mn |
Maravai Lifesciences Holdings Total Current Liabilities 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=total-current-liabilities&ticker=MRVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=MRVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();