Si-Bone (SIBN) Return on Assets [ROA] (2018 - 2026)
Si-Bone's Return on Assets [ROA] was -5.41% in Q3 2026, up 3.94 percentage points from -9.35% a year earlier and up 0.53 percentage points from the prior quarter.
Si-Bone (SIBN) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Si-Bone came in at -8.05%, up 5.33 percentage points from FY2024.
- Return on Assets [ROA] has now increased for three consecutive years, with a five-year change of +17.57 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -13.38% in FY2024 (+9.03 pp), -22.41% in FY2023 (+12.71 pp), -35.12% in FY2022 (-7.64 pp) and -27.49% in FY2021 (-1.87 pp).
- The Q3 2026 figure marks the highest quarterly Return on Assets [ROA] in data going back to Q4 2018.
- Compared with a year earlier, Return on Assets [ROA] has increased for 14 straight quarters, with an average year-over-year change of +5.80 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q3 2023 (a gain of 20.73 percentage points); the worst was Q2 2022 (a drop of 17.20 percentage points).
- Per Business Quant data, SIBN's Return on Assets [ROA] in the three quarters before Q3 2026 was -5.94% (Q2 2026), -6.93% (Q1 2026) and -7.99% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 6.24% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.32% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 4.67% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 14.78% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 9.46% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | -2.00% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 7.71% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 7.24% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.20% |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | -5.61% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -5.61% |
| Jun 30, 2026 | -6.07% |
| Mar 31, 2026 | -6.86% |
| Dec 31, 2025 | -7.75% |
| Sep 30, 2025 | -9.27% |
| Jun 30, 2025 | -10.18% |
| Mar 31, 2025 | -11.58% |
| Dec 31, 2024 | -13.56% |
| Sep 30, 2024 | -16.49% |
| Jun 30, 2024 | -18.29% |
| Mar 31, 2024 | -19.00% |
| Dec 31, 2023 | -18.74% |
| Sep 30, 2023 | -18.65% |
| Jun 30, 2023 | -24.76% |
| Mar 31, 2023 | -35.73% |
| Dec 31, 2022 | -38.87% |
| Sep 30, 2022 | -39.97% |
| Jun 30, 2022 | -38.89% |
| Mar 31, 2022 | -33.79% |
| Dec 31, 2021 | -29.52% |
Si-Bone Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();