Rapid Micro Biosystems (RPID) Other Operating Expenses (2020 - 2026)
Rapid Micro Biosystems' Other Operating Expenses came in at $3.44 million for Q2 2026, up 10.3% from $3.11 million a year earlier and up 0.4% from the prior quarter.
Rapid Micro Biosystems (RPID) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rapid Micro Biosystems reported Other Operating Expenses of $31.83 million, up 20.4% year-over-year; for FY2025, it was $44.62 million, up 7.7% from FY2024.
- Other Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $41.43 million in FY2024 (+0.2%), $41.33 million in FY2023 (+1.6%), $40.67 million in FY2022 (-5.0%) and $42.79 million in FY2021 (+42.1%).
- The five-year range for quarterly Other Operating Expenses is $2.75 million (Q1 2025) to $14.93 million (Q4 2025).
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters, with an average decline of 8.6% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2025 (growth of 46.1%), and the weakest in Q1 2025 (a decline of 73.6%).
- Business Quant data shows RPID's Other Operating Expenses at $3.42 million (Q1 2026), $14.93 million (Q4 2025) and $10.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Rapid Micro Biosystems | 46.83 Mn | -75.43 Mn | 1.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.44 Mn |
| Mar 31, 2026 | 3.42 Mn |
| Dec 31, 2025 | 14.93 Mn |
| Sep 30, 2025 | 10.04 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 2.75 Mn |
| Dec 31, 2024 | 10.22 Mn |
| Sep 30, 2024 | 10.36 Mn |
| Jun 30, 2024 | 10.43 Mn |
| Mar 31, 2024 | 10.42 Mn |
| Dec 31, 2023 | 9.67 Mn |
| Sep 30, 2023 | 11.27 Mn |
| Jun 30, 2023 | 10.10 Mn |
| Mar 31, 2023 | 10.29 Mn |
| Dec 31, 2022 | 11.10 Mn |
| Sep 30, 2022 | 11.46 Mn |
| Jun 30, 2022 | 8.57 Mn |
| Mar 31, 2022 | 9.54 Mn |
| Dec 31, 2021 | 11.15 Mn |
| Sep 30, 2021 | 11.27 Mn |
Rapid Micro Biosystems Other 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=other-operating-expenses&ticker=RPID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=RPID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();