Maravai Lifesciences Holdings (MRVI) Non-Current Assets (2020 - 2026)
Maravai Lifesciences Holdings (MRVI) posted Non-Current Assets of $448.09 million for Q2 2026, down 16.6% from $537.21 million a year earlier and down 2.9% from the prior quarter.
Maravai Lifesciences Holdings (MRVI) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Maravai Lifesciences Holdings' Non-Current Assets came in at $474.33 million, down 18.1% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- In prior years, Maravai Lifesciences Holdings' Non-Current Assets was $579.1 million in FY2024 (-26.5%), $787.54 million in FY2023 (-45.1%), $1.43 billion in FY2022 (+21.7%) and $1.18 billion in FY2021 (+25.5%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets in data going back to Q4 2020.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 11 quarters, with an average decline of 26.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2022, with growth of 53.8%; the weakest was Q3 2024, with a decline of 61.8%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $461.48 million (Q1 2026), $474.33 million (Q4 2025) and $523.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Maravai Lifesciences Holdings | 1.98 Bn | 1.44 Bn | 20.65 Mn | 448.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 448.09 Mn |
| Mar 31, 2026 | 461.48 Mn |
| Dec 31, 2025 | 474.33 Mn |
| Sep 30, 2025 | 523.32 Mn |
| Jun 30, 2025 | 537.21 Mn |
| Mar 31, 2025 | 583.47 Mn |
| Dec 31, 2024 | 579.10 Mn |
| Sep 30, 2024 | 599.12 Mn |
| Jun 30, 2024 | 762.25 Mn |
| Mar 31, 2024 | 776.76 Mn |
| Dec 31, 2023 | 787.54 Mn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.57 Bn |
| Mar 31, 2023 | 1.55 Bn |
| Dec 31, 2022 | 1.43 Bn |
| Sep 30, 2022 | 1.41 Bn |
| Jun 30, 2022 | 1.41 Bn |
| Mar 31, 2022 | 1.42 Bn |
| Dec 31, 2021 | 1.18 Bn |
| Sep 30, 2021 | 1.21 Bn |
Maravai Lifesciences Holdings Non-Current Assets 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=non-current-assets&ticker=MRVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MRVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();