Rockwell Medical (RMTI) Other Accumulated Expenses (2011 - 2023)
Rockwell Medical (RMTI) posted Other Accumulated Expenses of $2.5 million for Q4 2023.
Analysis
Rockwell Medical (RMTI) Other Accumulated Expenses (2011 - 2023) Analysis & Trends
Since Q4 2011, Rockwell Medical has reported Other Accumulated Expenses for 16 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 43.1% (FY2018 to FY2023).
- In prior years, Rockwell Medical's Other Accumulated Expenses was $104,000 in FY2019 (-75.0%).
- The Q4 2023 figure stands as the highest quarterly Other Accumulated Expenses since Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Rockwell Medical | 27.92 Mn | -68.30 Mn | 3.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 2.50 Mn |
| Mar 31, 2020 | 57,000.00 |
| Dec 31, 2019 | 104,000.00 |
| Sep 30, 2019 | 1.90 Mn |
| Jun 30, 2019 | 1.69 Mn |
| Mar 31, 2019 | 2.54 Mn |
| Dec 31, 2018 | 416,668.00 |
| Sep 30, 2018 | 666,667.00 |
| Jun 30, 2018 | 1.53 Mn |
| Dec 31, 2017 | 2.32 Mn |
| Dec 31, 2016 | 2.01 Mn |
| Dec 31, 2015 | 1.72 Mn |
| Dec 31, 2014 | 2.22 Mn |
| Dec 31, 2013 | 1.92 Mn |
| Dec 31, 2012 | 1.07 Mn |
| Dec 31, 2011 | 1.42 Mn |
API Access
Rockwell Medical 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=RMTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "RMTI", "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=RMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();