Si-Bone (SIBN) Assets (2017 - 2026)
Si-Bone's Assets was $248.76 million in Q2 2026, up 7.7% from $230.92 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Si-Bone (SIBN) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Assets at Si-Bone came in at $238.56 million, up 3.5% from FY2024.
- Assets shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In earlier years, Assets was $230.44 million in FY2024 (unchanged), $230.43 million in FY2023 (+46.3%), $157.55 million in FY2022 (-17.3%) and $190.51 million in FY2021 (-14.6%).
- The Q2 2026 figure marks the highest quarterly Assets in data going back to Q4 2017.
- Compared with a year earlier, Assets has increased for six straight quarters, with growth averaging 3.0% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q1 2024 (growth of 50.1%); the worst was Q2 2022 (a decline of 19.9%).
- Per Business Quant data, SIBN's Assets in the three quarters before Q2 2026 was $242.72 million (Q1 2026), $238.56 million (Q4 2025) and $234.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.87 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 50.73 Bn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 248.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.76 Mn |
| Mar 31, 2026 | 242.72 Mn |
| Dec 31, 2025 | 238.56 Mn |
| Sep 30, 2025 | 234.27 Mn |
| Jun 30, 2025 | 230.92 Mn |
| Mar 31, 2025 | 227.28 Mn |
| Dec 31, 2024 | 230.44 Mn |
| Sep 30, 2024 | 227.00 Mn |
| Jun 30, 2024 | 223.84 Mn |
| Mar 31, 2024 | 223.71 Mn |
| Dec 31, 2023 | 230.43 Mn |
| Sep 30, 2023 | 230.88 Mn |
| Jun 30, 2023 | 233.83 Mn |
| Mar 31, 2023 | 149.08 Mn |
| Dec 31, 2022 | 157.55 Mn |
| Sep 30, 2022 | 158.27 Mn |
| Jun 30, 2022 | 166.15 Mn |
| Mar 31, 2022 | 176.85 Mn |
| Dec 31, 2021 | 190.51 Mn |
| Sep 30, 2021 | 193.97 Mn |
API Access
Si-Bone Assets 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=assets&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();