Rapid Micro Biosystems (RPID) Other Accumulated Expenses (2020 - 2022)
Rapid Micro Biosystems' Other Accumulated Expenses came in at $200,000 for Q2 2022, down 74.8% from $793,000 a year earlier but up 132.6% from the prior quarter.
Rapid Micro Biosystems (RPID) Other Accumulated Expenses (2020 - 2022) Analysis & Trends
At the end of FY2021, Rapid Micro Biosystems' Other Accumulated Expenses was $338,000, up 2.4% from FY2020.
- Going back by year, Other Accumulated Expenses was $330,000 in FY2020.
- The five-year range for quarterly Other Accumulated Expenses is $86,000 (Q1 2022) to $793,000 (Q2 2021).
- Business Quant data shows RPID's Other Accumulated Expenses at $86,000 (Q1 2022), $338,000 (Q4 2021) and $694,000 (Q3 2021) in the three quarters before Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Rapid Micro Biosystems | 41.83 Mn | -80.43 Mn | 1.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 86,000.00 |
| Dec 31, 2021 | 338,000.00 |
| Sep 30, 2021 | 694,000.00 |
| Jun 30, 2021 | 793,000.00 |
| Dec 31, 2020 | 330,000.00 |
Rapid Micro Biosystems Other Accumulated 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-accumulated-expenses&ticker=RPID&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=RPID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();