iSpecimen (ISPC) Other Accumulated Expenses (2020 - 2022)
iSpecimen's Other Accumulated Expenses came in at $7,778 for Q3 2022, up 3.6% from $7,510 a year earlier and unchanged from the prior quarter.
Analysis
iSpecimen (ISPC) Other Accumulated Expenses (2020 - 2022) Analysis & Trends
At the end of FY2021, iSpecimen's Other Accumulated Expenses was $8,167, down 99.8% from FY2020.
- Going back by year, Other Accumulated Expenses was $3.7 million in FY2020.
- The five-year range for quarterly Other Accumulated Expenses is $7,510 (Q3 2021) to $3.7 million (Q4 2020).
- Business Quant data shows ISPC's Other Accumulated Expenses at $7,778 (Q2 2022), $8,167 (Q1 2022) and $8,167 (Q4 2021) in the three quarters before Q3 2022.
Peer Set
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 | iSpecimen | 1.80 Mn | -15.10 Mn | 68,650.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 7,778.00 |
| Jun 30, 2022 | 7,778.00 |
| Mar 31, 2022 | 8,167.00 |
| Dec 31, 2021 | 8,167.00 |
| Sep 30, 2021 | 7,510.00 |
| Jun 30, 2021 | 9,864.00 |
| Dec 31, 2020 | 3.70 Mn |
API Access
iSpecimen 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=ISPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ISPC", "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=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();