Si-Bone (SIBN) EBITDA Margin (2017 - 2026)
Si-Bone (SIBN) posted EBITDA Margin of -5.58% for Q2 2026, up 6.01 percentage points from -11.59% a year earlier and up 1.03 percentage points from the prior quarter.
Powered by 
Analysis
Si-Bone (SIBN) EBITDA Margin (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Si-Bone was -5.30%, up 6.93 percentage points year-over-year; for FY2025, it was -8.24%, up 10.22 percentage points from FY2024.
- Annual EBITDA Margin has increased for four consecutive years, with a five-year change of +42.77 percentage points (FY2020 to FY2025).
- In prior years, Si-Bone's EBITDA Margin was -18.46% in FY2024 (+11.42 pp), -29.88% in FY2023 (+22.89 pp), -52.77% in FY2022 (+2.23 pp) and -55.00% in FY2021 (-3.99 pp).
- Quarterly EBITDA Margin has run from a low of -72.00% in Q1 2022 to a high of -1.46% in Q4 2025 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last 16 quarters, with an average year-over-year change of +10.81 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 40.79 percentage points; the weakest was Q4 2021, with a drop of 18.65 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -6.61% (Q1 2026), -1.46% (Q4 2025) and -8.01% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 24.62% |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | -5.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.58% |
| Mar 31, 2026 | -6.61% |
| Dec 31, 2025 | -1.46% |
| Sep 30, 2025 | -8.01% |
| Jun 30, 2025 | -11.59% |
| Mar 31, 2025 | -13.11% |
| Dec 31, 2024 | -8.74% |
| Sep 30, 2024 | -16.23% |
| Jun 30, 2024 | -22.73% |
| Mar 31, 2024 | -28.93% |
| Dec 31, 2023 | -28.14% |
| Sep 30, 2023 | -28.33% |
| Jun 30, 2023 | -32.21% |
| Mar 31, 2023 | -31.21% |
| Dec 31, 2022 | -32.21% |
| Sep 30, 2022 | -47.75% |
| Jun 30, 2022 | -66.79% |
| Mar 31, 2022 | -72.00% |
| Dec 31, 2021 | -52.64% |
| Sep 30, 2021 | -56.57% |
API Access
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_KEYimport 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();