Si-Bone (SIBN) Other Operating Expenses (2017 - 2026)
Si-Bone's Other Operating Expenses was $34.02 million in Q2 2026, up 10.5% from $30.78 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Si-Bone (SIBN) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Si-Bone's Other Operating Expenses was $129.59 million through Jun 30, 2026, up 7.9% year-over-year; for FY2025, it was $124.22 million, up 6.1% from FY2024.
- Other Operating Expenses has now increased for eight consecutive years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $117.05 million in FY2024 (+6.2%), $110.25 million in FY2023 (+2.3%), $107.73 million in FY2022 (+14.7%) and $93.88 million in FY2021 (+27.2%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q3 2017.
- Compared with a year earlier, Other Operating Expenses has increased for 12 straight quarters, with growth averaging 6.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 31.9%); the worst was Q2 2023 (a decline of 4.7%).
- Per Business Quant data, SIBN's Other Operating Expenses in the three quarters before Q2 2026 was $32.81 million (Q1 2026), $32.81 million (Q4 2025) and $29.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Si-Bone | 840.31 Mn | 256.12 Mn | 44.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 23.53 Mn |
API Access
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_KEYimport 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();