Maravai Lifesciences Holdings (MRVI) Receivables - Net (2020 - 2026)
Maravai Lifesciences Holdings (MRVI) posted Receivables - Net of $31.14 million for Q2 2026, up 11.7% from $27.88 million a year earlier but down 6.8% from the prior quarter.
Maravai Lifesciences Holdings (MRVI) Receivables - Net (2020 - 2026) Analysis & Trends
At the end of FY2025, Maravai Lifesciences Holdings' Receivables - Net came in at $25.5 million, down 33.8% from FY2024.
- Annual Receivables - Net has declined for three consecutive years, with a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- In prior years, Maravai Lifesciences Holdings' Receivables - Net was $38.52 million in FY2024 (-29.5%), $54.61 million in FY2023 (-60.6%), $138.62 million in FY2022 (+18.0%) and $117.51 million in FY2021 (+130.3%).
- Quarterly Receivables - Net has run from a low of $22.54 million in Q3 2025 to a high of $138.62 million in Q4 2022 over five years.
- On a year-over-year basis, Receivables - Net increased in two of the last eight quarters, with an average decline of 16.9%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q4 2021, with growth of 130.3%; the weakest was Q4 2023, with a decline of 60.6%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $33.42 million (Q1 2026), $25.5 million (Q4 2025) and $22.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Maravai Lifesciences Holdings | 1.98 Bn | 1.44 Bn | 20.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.14 Mn |
| Mar 31, 2026 | 33.42 Mn |
| Dec 31, 2025 | 25.50 Mn |
| Sep 30, 2025 | 22.54 Mn |
| Jun 30, 2025 | 27.88 Mn |
| Mar 31, 2025 | 28.49 Mn |
| Dec 31, 2024 | 38.52 Mn |
| Sep 30, 2024 | 28.79 Mn |
| Jun 30, 2024 | 34.74 Mn |
| Mar 31, 2024 | 36.69 Mn |
| Dec 31, 2023 | 54.61 Mn |
| Sep 30, 2023 | 45.67 Mn |
| Jun 30, 2023 | 48.99 Mn |
| Mar 31, 2023 | 56.27 Mn |
| Dec 31, 2022 | 138.62 Mn |
| Sep 30, 2022 | 114.07 Mn |
| Jun 30, 2022 | 120.35 Mn |
| Mar 31, 2022 | 120.36 Mn |
| Dec 31, 2021 | 117.51 Mn |
| Sep 30, 2021 | 65.94 Mn |
Maravai Lifesciences Holdings Receivables - Net 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=receivables-net&ticker=MRVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=MRVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();