Si-Bone (SIBN) Capital Expenditures (2017 - 2026)
Si-Bone's Capital Expenditures was $1.55 million in Q2 2026, down 26.4% from $2.1 million a year earlier but up 43.5% from the prior quarter.
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Analysis
Si-Bone (SIBN) Capital Expenditures (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Si-Bone's Capital Expenditures was $6.87 million through Jun 30, 2026, down 27.5% year-over-year; for FY2025, it was $8.41 million, down 19.8% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $10.5 million in FY2024 (+34.6%), $7.8 million in FY2023 (-18.0%), $9.51 million in FY2022 (+48.8%) and $6.39 million in FY2021 (+149.5%).
- Quarterly Capital Expenditures has moved between $423,000 (Q3 2021) and $3.57 million (Q3 2022) over five years.
- Compared with a year earlier, Capital Expenditures has declined for six straight quarters, with growth averaging 8.6% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2022 (growth of 744.4%); the worst was Q3 2023 (a decline of 60.4%).
- Per Business Quant data, SIBN's Capital Expenditures in the three quarters before Q2 2026 was $1.08 million (Q1 2026), $1.29 million (Q4 2025) and $2.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Si-Bone | 840.31 Mn | 256.12 Mn | 44.55 Mn | 1.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.55 Mn |
| Mar 31, 2026 | 1.08 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 2.96 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.07 Mn |
| Dec 31, 2024 | 2.27 Mn |
| Sep 30, 2024 | 3.04 Mn |
| Jun 30, 2024 | 3.11 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | 1.41 Mn |
| Jun 30, 2023 | 2.71 Mn |
| Mar 31, 2023 | 2.58 Mn |
| Dec 31, 2022 | 1.66 Mn |
| Sep 30, 2022 | 3.57 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 2.27 Mn |
| Dec 31, 2021 | 1.78 Mn |
| Sep 30, 2021 | 423,000.00 |
API Access
Si-Bone Capital Expenditures 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=capital-expenditures&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();