Si-Bone (SIBN) Net Margin (2017 - 2026)
Si-Bone's Net Margin was -7.30% in Q2 2026, up 5.35 percentage points from -12.65% a year earlier and up 0.94 percentage points from the prior quarter.
Si-Bone (SIBN) Net Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Si-Bone's Net Margin was -6.85% through Jun 30, 2026, up 5.98 percentage points year-over-year; for FY2025, it came in at -9.41%, up 9.08 percentage points from FY2024.
- Net Margin has now increased for four consecutive years, with a five-year change of +50.13 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -18.49% in FY2024 (+12.71 pp), -31.20% in FY2023 (+26.36 pp), -57.57% in FY2022 (+5.19 pp) and -62.75% in FY2021 (-3.21 pp).
- Quarterly Net Margin has moved between -77.59% (Q1 2022) and -2.92% (Q4 2025) over five years.
- Compared with a year earlier, Net Margin has increased for 16 straight quarters, with an average year-over-year change of +10.13 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q1 2023 (a gain of 43.58 percentage points); the worst was Q3 2021 (a drop of 24.72 percentage points).
- Per Business Quant data, SIBN's Net Margin in the three quarters before Q2 2026 was -8.24% (Q1 2026), -2.92% (Q4 2025) and -9.38% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 16.67% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.89% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 7.57% |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | -7.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.30% |
| Mar 31, 2026 | -8.24% |
| Dec 31, 2025 | -2.92% |
| Sep 30, 2025 | -9.38% |
| Jun 30, 2025 | -12.65% |
| Mar 31, 2025 | -13.83% |
| Dec 31, 2024 | -9.17% |
| Sep 30, 2024 | -16.30% |
| Jun 30, 2024 | -22.36% |
| Mar 31, 2024 | -28.80% |
| Dec 31, 2023 | -28.26% |
| Sep 30, 2023 | -29.46% |
| Jun 30, 2023 | -33.65% |
| Mar 31, 2023 | -34.01% |
| Dec 31, 2022 | -34.97% |
| Sep 30, 2022 | -53.56% |
| Jun 30, 2022 | -72.36% |
| Mar 31, 2022 | -77.59% |
| Dec 31, 2021 | -57.38% |
| Sep 30, 2021 | -71.22% |
Si-Bone 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=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "SIBN", "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=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();