Maravai Lifesciences Holdings (MRVI) Inventory (2020 - 2026)
Maravai Lifesciences Holdings (MRVI) recorded Inventory of $41.23 million in Q2 2026, down 11.7% from $46.67 million a year earlier but up 1.9% from the prior quarter.
Maravai Lifesciences Holdings (MRVI) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Maravai Lifesciences Holdings reported Inventory of $40.5 million, down 19.1% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $50.08 million in FY2024 (-2.6%), $51.4 million in FY2023 (+19.1%), $43.15 million in FY2022 (-16.3%) and $51.56 million in FY2021 (+54.8%).
- Quarterly Inventory has ranged from $40.46 million in Q1 2026 to $62.42 million in Q3 2022 over the past five years.
- On a year-over-year basis, Inventory has declined for seven consecutive quarters, with an average decline of 8.1% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 54.8% in Q4 2021, against a decline of 21.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.46 million (Q1 2026), $40.5 million (Q4 2025) and $45.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Maravai Lifesciences Holdings | 1.98 Bn | 1.44 Bn | 20.65 Mn | 41.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.23 Mn |
| Mar 31, 2026 | 40.46 Mn |
| Dec 31, 2025 | 40.50 Mn |
| Sep 30, 2025 | 45.33 Mn |
| Jun 30, 2025 | 46.67 Mn |
| Mar 31, 2025 | 49.77 Mn |
| Dec 31, 2024 | 50.08 Mn |
| Sep 30, 2024 | 50.53 Mn |
| Jun 30, 2024 | 49.34 Mn |
| Mar 31, 2024 | 49.85 Mn |
| Dec 31, 2023 | 51.40 Mn |
| Sep 30, 2023 | 49.14 Mn |
| Jun 30, 2023 | 47.40 Mn |
| Mar 31, 2023 | 54.82 Mn |
| Dec 31, 2022 | 43.15 Mn |
| Sep 30, 2022 | 62.42 Mn |
| Jun 30, 2022 | 60.11 Mn |
| Mar 31, 2022 | 51.41 Mn |
| Dec 31, 2021 | 51.56 Mn |
| Sep 30, 2021 | 56.25 Mn |
Maravai Lifesciences Holdings Inventory 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=inventory&ticker=MRVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MRVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();