Maravai Lifesciences Holdings (MRVI) Operating Expenses (2020 - 2026)
Maravai Lifesciences Holdings (MRVI) reported Operating Expenses of $35.74 million for Q2 2026, down 51.7% from $74.05 million a year earlier and down 0.3% from the prior quarter.
Maravai Lifesciences Holdings (MRVI) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Maravai Lifesciences Holdings' Operating Expenses came in at $189.92 million, down 50.8% year-over-year; for FY2025, it came in at $249.26 million, down 27.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $343.93 million in FY2024 (+100.1%), $171.85 million in FY2023 (-44.3%), $308.79 million in FY2022 (+26.2%) and $244.6 million in FY2021 (+49.0%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses gained in two of the last seven quarters, with an average decline of 5.9%.
- The high point for year-over-year Operating Expenses in five years was Q3 2024 (growth of 140.5%); the low point was Q3 2025 (a decline of 76.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.86 million (Q1 2026), $71.64 million (Q4 2025) and $46.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Maravai Lifesciences Holdings | 1.98 Bn | 1.44 Bn | 20.65 Mn | 35.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.74 Mn |
| Mar 31, 2026 | 35.86 Mn |
| Dec 31, 2025 | 71.64 Mn |
| Sep 30, 2025 | 46.69 Mn |
| Jun 30, 2025 | 74.05 Mn |
| Mar 31, 2025 | 56.89 Mn |
| Dec 31, 2024 | 57.09 Mn |
| Sep 30, 2024 | 197.85 Mn |
| Jun 30, 2024 | 82.86 Mn |
| Mar 31, 2024 | 83.04 Mn |
| Dec 31, 2023 | -67.45 Mn |
| Sep 30, 2023 | 82.28 Mn |
| Jun 30, 2023 | 80.53 Mn |
| Mar 31, 2023 | 76.49 Mn |
| Dec 31, 2022 | 95.47 Mn |
| Sep 30, 2022 | 74.36 Mn |
| Jun 30, 2022 | 62.03 Mn |
| Mar 31, 2022 | 76.93 Mn |
| Dec 31, 2021 | 73.90 Mn |
| Sep 30, 2021 | 49.43 Mn |
Maravai Lifesciences Holdings Operating Expenses 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=operating-expenses&ticker=MRVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MRVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();