Si-Bone (SIBN) EBITDA Margin (2017 - 2026)
Si-Bone (SIBN) posted EBITDA Margin of -4.72% for Q3 2026, up 3.23 percentage points from -7.95% a year earlier and up 0.81 percentage points from the prior quarter.
Si-Bone (SIBN) EBITDA Margin (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA Margin at Si-Bone was -4.52%, up 5.76 percentage points year-over-year; for FY2025, it was -8.18%, up 10.19 percentage points from FY2024.
- Annual EBITDA Margin has increased for four consecutive years, with a five-year change of +42.43 percentage points (FY2020 to FY2025).
- In prior years, Si-Bone's EBITDA Margin was -18.37% in FY2024 (+11.36 pp), -29.73% in FY2023 (+22.86 pp), -52.59% in FY2022 (+2.09 pp) and -54.68% in FY2021 (-4.07 pp).
- Quarterly EBITDA Margin has run from a low of -71.77% in Q1 2022 to a high of -1.41% in Q4 2025 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last 17 quarters, with an average year-over-year change of +9.67 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q1 2023, with a gain of 40.81 percentage points; the weakest was Q4 2021, with a drop of 18.83 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -5.53% (Q2 2026), -6.55% (Q1 2026) and -1.41% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 25.44% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 20.09% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 23.14% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 20.05% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 9.79% |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | -4.72% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4.72% |
| Jun 30, 2026 | -5.53% |
| Mar 31, 2026 | -6.55% |
| Dec 31, 2025 | -1.41% |
| Sep 30, 2025 | -7.95% |
| Jun 30, 2025 | -11.53% |
| Mar 31, 2025 | -13.05% |
| Dec 31, 2024 | -8.68% |
| Sep 30, 2024 | -16.13% |
| Jun 30, 2024 | -22.63% |
| Mar 31, 2024 | -28.82% |
| Dec 31, 2023 | -28.02% |
| Sep 30, 2023 | -28.21% |
| Jun 30, 2023 | -32.08% |
| Mar 31, 2023 | -30.96% |
| Dec 31, 2022 | -32.07% |
| Sep 30, 2022 | -47.56% |
| Jun 30, 2022 | -66.60% |
| Mar 31, 2022 | -71.77% |
| Dec 31, 2021 | -52.43% |
Si-Bone EBITDA 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=ebitda-margin&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();