Si-Bone (SIBN) Research & Development (2017 - 2026)
Si-Bone's Research & Development came in at $5.22 million for Q2 2026, up 21.2% from $4.31 million a year earlier and up 24.5% from the prior quarter.
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Analysis
Si-Bone (SIBN) Research & Development (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Si-Bone reported Research & Development of $18.02 million, up 7.9% year-over-year; for FY2025, it came in at $17.45 million, up 5.4% from FY2024.
- Research & Development has increased in each of the last seven years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by year, Research & Development was $16.56 million in FY2024 (+10.2%), $15.03 million in FY2023 (+10.3%), $13.63 million in FY2022 (+9.5%) and $12.44 million in FY2021 (+31.5%).
- The Q2 2026 figure represents the highest quarterly Research & Development in data going back to Q3 2017.
- Year-over-year, Research & Development increased in five of the last eight quarters, with growth averaging 3.9%.
- The fastest year-over-year change in Research & Development over five years came in Q1 2024 (growth of 32.0%), and the weakest in Q1 2023 (a decline of 8.1%).
- Business Quant data shows SIBN's Research & Development at $4.19 million (Q1 2026), $4.36 million (Q4 2025) and $4.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 5.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.22 Mn |
| Mar 31, 2026 | 4.19 Mn |
| Dec 31, 2025 | 4.36 Mn |
| Sep 30, 2025 | 4.24 Mn |
| Jun 30, 2025 | 4.31 Mn |
| Mar 31, 2025 | 4.53 Mn |
| Dec 31, 2024 | 3.87 Mn |
| Sep 30, 2024 | 3.99 Mn |
| Jun 30, 2024 | 4.35 Mn |
| Mar 31, 2024 | 4.35 Mn |
| Dec 31, 2023 | 4.16 Mn |
| Sep 30, 2023 | 3.92 Mn |
| Jun 30, 2023 | 3.66 Mn |
| Mar 31, 2023 | 3.29 Mn |
| Dec 31, 2022 | 3.48 Mn |
| Sep 30, 2022 | 3.09 Mn |
| Jun 30, 2022 | 3.48 Mn |
| Mar 31, 2022 | 3.58 Mn |
| Dec 31, 2021 | 3.05 Mn |
| Sep 30, 2021 | 3.29 Mn |
API Access
Si-Bone Research & Development 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=research-and-development&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();