Si-Bone (SIBN) Research & Development (2017 - 2026)
Si-Bone's Research & Development came in at $4.56 million for Q3 2026, up 7.5% from $4.24 million a year earlier but down 12.6% from the prior quarter.
Si-Bone (SIBN) Research & Development (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Si-Bone reported Research & Development of $18.34 million, up 8.2% 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 five-year range for quarterly Research & Development is $3.05 million (Q4 2021) to $5.22 million (Q2 2026).
- Year-over-year, Research & Development increased in five of the last eight quarters, with growth averaging 4.6%.
- 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 $5.22 million (Q2 2026), $4.19 million (Q1 2026) and $4.36 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 4.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.56 Mn |
| 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 |
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_KEY
import 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();