Si-Bone (SIBN) Return on Capital Employed [ROCE] (2018 - 2026)
Si-Bone (SIBN) posted Return on Capital Employed [ROCE] of -7.49% for Q3 2026, up 4.81 percentage points from -12.30% a year earlier and up 0.51 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 Q3 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 14 quarters, with an average year-over-year change of +6.79 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 -8.00% (Q2 2026), -9.10% (Q1 2026) and -10.58% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | -7.49% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -7.49% |
| 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% |
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();