Si-Bone (SIBN) Enterprise Value (2018 - 2026)
Si-Bone (SIBN) posted Enterprise Value of $583.52 million for Q2 2026, down 12.1% from $663.98 million a year earlier but up 41.1% from the prior quarter.
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Analysis
Si-Bone (SIBN) Enterprise Value (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Si-Bone was $145.27 million, down 33.6% year-over-year; for FY2025, it was $712.9 million, up 62.0% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Si-Bone's Enterprise Value was $440.01 million in FY2024 (-36.1%), $688.13 million in FY2023 (+83.5%), $375.06 million in FY2022 (-37.6%) and $600.92 million in FY2021 (-22.7%).
- Quarterly Enterprise Value has run from a low of $337.31 million in Q2 2022 to a high of $912.14 million in Q2 2023 over five years.
- On a year-over-year basis, Enterprise Value increased in three of the last eight quarters, with growth averaging 5.2%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2023, with growth of 170.4%; the weakest was Q2 2022, with a decline of 61.2%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $413.58 million (Q1 2026), $712.9 million (Q4 2025) and $491.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Si-Bone | 925.57 Mn | 341.38 Mn | 44.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 583.52 Mn |
| Mar 31, 2026 | 413.58 Mn |
| Dec 31, 2025 | 712.90 Mn |
| Sep 30, 2025 | 491.24 Mn |
| Jun 30, 2025 | 663.98 Mn |
| Mar 31, 2025 | 451.57 Mn |
| Dec 31, 2024 | 440.01 Mn |
| Sep 30, 2024 | 433.41 Mn |
| Jun 30, 2024 | 385.21 Mn |
| Mar 31, 2024 | 514.64 Mn |
| Dec 31, 2023 | 688.13 Mn |
| Sep 30, 2023 | 690.87 Mn |
| Jun 30, 2023 | 912.14 Mn |
| Mar 31, 2023 | 604.57 Mn |
| Dec 31, 2022 | 375.06 Mn |
| Sep 30, 2022 | 497.23 Mn |
| Jun 30, 2022 | 337.31 Mn |
| Mar 31, 2022 | 634.78 Mn |
| Dec 31, 2021 | 600.92 Mn |
| Sep 30, 2021 | 555.67 Mn |
API Access
Si-Bone Enterprise Value 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=enterprise-value&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();