Si-Bone (SIBN) Return on Assets [ROA] (2018 - 2026)
Si-Bone's Return on Assets [ROA] was -5.94% in Q2 2026, up 4.44 percentage points from -10.38% a year earlier and up 0.99 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 Q2 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 13 straight quarters, with an average year-over-year change of +5.59 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 Q2 2026 was -6.93% (Q1 2026), -7.99% (Q4 2025) and -9.35% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 15.41% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 8.19% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 7.38% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.85% |
| 10 | Si-Bone | 808.13 Mn | 223.93 Mn | 44.55 Mn | -5.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.94% |
| Mar 31, 2026 | -6.93% |
| Dec 31, 2025 | -7.99% |
| Sep 30, 2025 | -9.35% |
| Jun 30, 2025 | -10.38% |
| Mar 31, 2025 | -11.61% |
| Dec 31, 2024 | -13.48% |
| Sep 30, 2024 | -16.64% |
| Jun 30, 2024 | -18.23% |
| Mar 31, 2024 | -18.98% |
| Dec 31, 2023 | -18.85% |
| Sep 30, 2023 | -18.82% |
| Jun 30, 2023 | -24.98% |
| Mar 31, 2023 | -35.85% |
| Dec 31, 2022 | -38.71% |
| Sep 30, 2022 | -39.56% |
| Jun 30, 2022 | -38.48% |
| Mar 31, 2022 | -33.55% |
| Dec 31, 2021 | -29.57% |
| Sep 30, 2021 | -25.55% |
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();