Si-Bone (SIBN) Revenue (2017 - 2026)
Si-Bone (SIBN) reported Revenue of $56.01 million for Q2 2026, up 15.2% from $48.63 million a year earlier and up 6.5% from the prior quarter.
Si-Bone (SIBN) Revenue (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Si-Bone's Revenue came in at $213.6 million, up 15.3% year-over-year; for FY2025, it came in at $200.93 million, up 20.2% from FY2024.
- Revenue has increased for eight consecutive years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- By year, Revenue came in at $167.18 million in FY2024 (+20.4%), $138.89 million in FY2023 (+30.5%), $106.41 million in FY2022 (+18.0%) and $90.15 million in FY2021 (+22.8%).
- Five-year quarterly Revenue spans a low of $22.29 million in Q3 2021 and a high of $56.35 million in Q4 2025.
- Year over year, Revenue has now increased in each of the last 24 quarters, with growth averaging 19.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 9.4% in Q3 2021 to 45.8% in Q1 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at $52.59 million (Q1 2026), $56.35 million (Q4 2025) and $48.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Si-Bone | 840.31 Mn | 256.12 Mn | 44.55 Mn | 56.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.01 Mn |
| Mar 31, 2026 | 52.59 Mn |
| Dec 31, 2025 | 56.35 Mn |
| Sep 30, 2025 | 48.66 Mn |
| Jun 30, 2025 | 48.63 Mn |
| Mar 31, 2025 | 47.29 Mn |
| Dec 31, 2024 | 49.00 Mn |
| Sep 30, 2024 | 40.34 Mn |
| Jun 30, 2024 | 39.97 Mn |
| Mar 31, 2024 | 37.87 Mn |
| Dec 31, 2023 | 38.86 Mn |
| Sep 30, 2023 | 34.01 Mn |
| Jun 30, 2023 | 33.31 Mn |
| Mar 31, 2023 | 32.71 Mn |
| Dec 31, 2022 | 31.95 Mn |
| Sep 30, 2022 | 26.43 Mn |
| Jun 30, 2022 | 25.59 Mn |
| Mar 31, 2022 | 22.44 Mn |
| Dec 31, 2021 | 25.23 Mn |
| Sep 30, 2021 | 22.29 Mn |
Si-Bone Revenue 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=revenue&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();