Si-Bone (SIBN) Return on Capital Employed [ROCE] (2018 - 2026)
Si-Bone (SIBN) posted Return on Capital Employed [ROCE] of -8.00% for Q2 2026, up 5.51 percentage points from -13.51% a year earlier and up 1.10 percentage points from the prior quarter.
Si-Bone (SIBN) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Si-Bone's Return on Capital Employed [ROCE] came in at -10.67%, up 6.66 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three consecutive years, with a five-year change of +13.95 percentage points (FY2020 to FY2025).
- In prior years, Si-Bone's Return on Capital Employed [ROCE] was -17.34% in FY2024 (+10.18 pp), -27.52% in FY2023 (+11.48 pp), -39.00% in FY2022 (-11.79 pp) and -27.20% in FY2021 (-2.58 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2018.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 13 quarters, with an average year-over-year change of +6.25 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2023, with a gain of 21.87 percentage points; the weakest was Q2 2022, with a drop of 19.31 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -9.10% (Q1 2026), -10.58% (Q4 2025) and -12.30% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Si-Bone | 808.13 Mn | 223.93 Mn | 44.55 Mn | -8.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.00% |
| Mar 31, 2026 | -9.10% |
| Dec 31, 2025 | -10.58% |
| Sep 30, 2025 | -12.30% |
| Jun 30, 2025 | -13.51% |
| Mar 31, 2025 | -14.98% |
| Dec 31, 2024 | -17.49% |
| Sep 30, 2024 | -21.05% |
| Jun 30, 2024 | -22.70% |
| Mar 31, 2024 | -23.12% |
| Dec 31, 2023 | -22.65% |
| Sep 30, 2023 | -21.47% |
| Jun 30, 2023 | -27.77% |
| Mar 31, 2023 | -39.53% |
| Dec 31, 2022 | -43.60% |
| Sep 30, 2022 | -43.33% |
| Jun 30, 2022 | -39.97% |
| Mar 31, 2022 | -33.86% |
| Dec 31, 2021 | -29.47% |
| Sep 30, 2021 | -24.51% |
Si-Bone Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();