Rapid Micro Biosystems (RPID) Assets (2020 - 2026)
Rapid Micro Biosystems (RPID) posted Assets of $58.45 million for Q2 2026, down 22.7% from $75.59 million a year earlier and down 6.3% from the prior quarter.
Rapid Micro Biosystems (RPID) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Rapid Micro Biosystems' Assets came in at $74.85 million, down 23.8% from FY2024.
- Annual Assets has declined for four consecutive years, though with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In prior years, Rapid Micro Biosystems' Assets was $98.17 million in FY2024 (-31.6%), $143.45 million in FY2023 (-24.8%), $190.65 million in FY2022 (-20.9%) and $241.17 million in FY2021 (+244.5%).
- The Q2 2026 figure stands as the lowest quarterly Assets in data going back to Q4 2020.
- On a year-over-year basis, Assets has declined in each of the last 16 quarters, with an average decline of 27.9% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2021, with growth of 244.5%; the weakest was Q2 2025, with a decline of 35.4%.
- According to Business Quant data, Assets for the three prior quarters was $62.36 million (Q1 2026), $74.85 million (Q4 2025) and $84.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 50.73 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.87 Bn |
| 10 | Rapid Micro Biosystems | 50.01 Mn | -72.25 Mn | 1.21 Mn | 58.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.45 Mn |
| Mar 31, 2026 | 62.36 Mn |
| Dec 31, 2025 | 74.85 Mn |
| Sep 30, 2025 | 84.41 Mn |
| Jun 30, 2025 | 75.59 Mn |
| Mar 31, 2025 | 85.43 Mn |
| Dec 31, 2024 | 98.17 Mn |
| Sep 30, 2024 | 105.84 Mn |
| Jun 30, 2024 | 117.09 Mn |
| Mar 31, 2024 | 127.73 Mn |
| Dec 31, 2023 | 143.45 Mn |
| Sep 30, 2023 | 150.16 Mn |
| Jun 30, 2023 | 160.95 Mn |
| Mar 31, 2023 | 173.28 Mn |
| Dec 31, 2022 | 190.65 Mn |
| Sep 30, 2022 | 201.92 Mn |
| Jun 30, 2022 | 216.14 Mn |
| Mar 31, 2022 | 230.05 Mn |
| Dec 31, 2021 | 241.17 Mn |
| Sep 30, 2021 | 254.43 Mn |
Rapid Micro Biosystems 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=assets&ticker=RPID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "RPID", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=RPID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();