Si-Bone (SIBN) Other Operating Expenses (2017 - 2026)
Si-Bone's Other Operating Expenses was $26.88 million in Q3 2026, up 10.2% from $24.39 million a year earlier but down 3.3% from the prior quarter.
Si-Bone (SIBN) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Si-Bone's Other Operating Expenses was $106.37 million through Sep 30, 2026, up 6.2% year-over-year; for FY2025, it was $100.63 million, up 2.1% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $98.56 million in FY2024 (+2.9%), $95.82 million in FY2023 (-9.3%), $105.65 million in FY2022 (+10.2%) and $95.9 million in FY2021 (+29.0%).
- Quarterly Other Operating Expenses has moved between $22.92 million (Q4 2023) and $28.86 million (Q2 2022) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for six straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 29.3%); the worst was Q2 2023 (a decline of 14.0%).
- Per Business Quant data, SIBN's Other Operating Expenses in the three quarters before Q3 2026 was $27.78 million (Q2 2026), $26.36 million (Q1 2026) and $25.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.85 Mn |
| Jun 30, 2026 | 34.02 Mn |
| Mar 31, 2026 | 32.81 Mn |
| Dec 31, 2025 | 32.81 Mn |
| Sep 30, 2025 | 29.96 Mn |
| Jun 30, 2025 | 30.78 Mn |
| Mar 31, 2025 | 30.68 Mn |
| Dec 31, 2024 | 31.25 Mn |
| Sep 30, 2024 | 27.45 Mn |
| Jun 30, 2024 | 28.97 Mn |
| Mar 31, 2024 | 29.39 Mn |
| Dec 31, 2023 | 28.94 Mn |
| Sep 30, 2023 | 26.51 Mn |
| Jun 30, 2023 | 27.49 Mn |
| Mar 31, 2023 | 27.31 Mn |
| Dec 31, 2022 | 27.61 Mn |
| Sep 30, 2022 | 25.67 Mn |
| Jun 30, 2022 | 28.84 Mn |
| Mar 31, 2022 | 25.61 Mn |
| Dec 31, 2021 | 26.35 Mn |
Si-Bone Other Operating Expenses 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=other-operating-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();