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 | Eli Lilly | 1,135.99 Bn | 1,104.58 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 616.90 Bn | 535.42 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 501.56 Bn | 474.68 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 261.45 Bn | 235.13 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 236.48 Bn | 191.88 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 190.56 Bn | 164.76 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 169.46 Bn | 116.11 Bn | 10.94 Bn | -1.65% |
| 10 | Spruce Biosciences | 102.66 Mn | -107.29 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();