Spruce Biosciences (SPRB) Net Margin (2023 - 2024)
Spruce Biosciences' Net Margin was -3380.06% in Q4 2024, down 3036.72 percentage points from -343.34% a year earlier and down 1939.69 percentage points from the prior quarter.
Spruce Biosciences (SPRB) Net Margin (2023 - 2024) Analysis & Trends
For FY2024, Net Margin at Spruce Biosciences came in at -1079.94%, down 605.50 percentage points from FY2023.
- In earlier years, Net Margin was -474.45% in FY2023.
- The Q4 2024 figure marks the lowest quarterly Net Margin in data going back to Q1 2023.
- Compared with a year earlier, Net Margin was higher in two of the last four quarters, with an average year-over-year change of -1001.76 percentage points.
- Per Business Quant data, SPRB's Net Margin in the three quarters before Q4 2024 was -1440.37% (Q3 2024), -570.25% (Q2 2024) and -580.67% (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 32.99% |
| 10 | Spruce Biosciences | 130.79 Mn | 130.79 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -3,380.06% |
| Sep 30, 2024 | -1,440.37% |
| Jun 30, 2024 | -570.25% |
| Mar 31, 2024 | -580.67% |
| Dec 31, 2023 | -343.34% |
| Sep 30, 2023 | -398.52% |
| Jun 30, 2023 | -582.91% |
| Mar 31, 2023 | -639.55% |
Spruce Biosciences Net Margin 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=net-margin&ticker=SPRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "SPRB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=SPRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();