Si-Bone (SIBN) Return on Sales [ROS] (2017 - 2026)
Si-Bone (SIBN) posted Return on Sales [ROS] of -7.81% for Q3 2026, up 3.25 percentage points from -11.06% a year earlier and up 0.77 percentage points from the prior quarter.
Si-Bone (SIBN) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Si-Bone was -7.57%, up 5.53 percentage points year-over-year; for FY2025, it came in at -11.11%, up 9.97 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +41.44 percentage points (FY2020 to FY2025).
- In prior years, Si-Bone's Return on Sales [ROS] was -21.08% in FY2024 (+12.71 pp), -33.79% in FY2023 (+22.23 pp), -56.02% in FY2022 (+1.30 pp) and -57.31% in FY2021 (-4.76 pp).
- Quarterly Return on Sales [ROS] has run from a low of -75.17% in Q1 2022 to a high of -4.37% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 17 quarters, with an average year-over-year change of +9.71 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2023, with a gain of 40.65 percentage points; the weakest was Q4 2021, with a drop of 19.67 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -8.58% (Q2 2026), -9.68% (Q1 2026) and -4.37% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | -7.81% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -7.81% |
| Jun 30, 2026 | -8.58% |
| Mar 31, 2026 | -9.68% |
| Dec 31, 2025 | -4.37% |
| Sep 30, 2025 | -11.06% |
| Jun 30, 2025 | -14.40% |
| Mar 31, 2025 | -15.82% |
| Dec 31, 2024 | -11.21% |
| Sep 30, 2024 | -18.92% |
| Jun 30, 2024 | -25.21% |
| Mar 31, 2024 | -31.80% |
| Dec 31, 2023 | -32.18% |
| Sep 30, 2023 | -32.84% |
| Jun 30, 2023 | -35.92% |
| Mar 31, 2023 | -34.53% |
| Dec 31, 2022 | -35.35% |
| Sep 30, 2022 | -51.32% |
| Jun 30, 2022 | -69.89% |
| Mar 31, 2022 | -75.17% |
| Dec 31, 2021 | -55.22% |
Si-Bone Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();