Scientist Home Future Health (SHFH) Net Margin (2024 - 2026)
Scientist Home Future Health (SHFH) posted Net Margin of 3.87% for Q3 2026, up 124.68 percentage points from -120.81% a year earlier and up 119.95 percentage points from the prior quarter.
Scientist Home Future Health (SHFH) Net Margin (2024 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Net Margin at Scientist Home Future Health was -60.10%; for FY2025, it was -113.56%, down 101.16 percentage points from FY2024.
- In prior years, Scientist Home Future Health's Net Margin was -12.40% in FY2024.
- The Q3 2026 figure stands as the highest quarterly Net Margin since Q1 2025.
- According to Business Quant data, Net Margin for the three prior quarters was -116.07% (Q2 2026), -54.08% (Q1 2026) and -173.40% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 20.33% |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 13.99% |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 6.27% |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 11.07% |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 43.37% |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 13.25% |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 8.92% |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 5.77% |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 6.14% |
| 10 | Scientist Home Future Health | 25.38 Mn | 25.27 Mn | 121,020.00 | 3.87% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.87% |
| Jun 30, 2026 | -116.07% |
| Mar 31, 2026 | -54.08% |
| Dec 31, 2025 | -173.40% |
| Sep 30, 2025 | -120.81% |
| Jun 30, 2025 | -117.94% |
| Mar 31, 2025 | 13.52% |
| Dec 31, 2024 | -24.68% |
| Sep 30, 2024 | 0.29% |
Scientist Home Future Health 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=SHFH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "SHFH", "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=SHFH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();