Si-Bone (SIBN) Operating Expenses (2017 - 2026)
Si-Bone (SIBN) reported Operating Expenses of $49.35 million for Q2 2026, up 7.7% from $45.81 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Si-Bone (SIBN) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Si-Bone's Operating Expenses came in at $187.61 million, up 7.3% year-over-year; for FY2025, it was $182.21 million, up 8.9% from FY2024.
- Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $167.37 million in FY2024 (+7.0%), $156.35 million in FY2023 (+4.0%), $150.31 million in FY2022 (+14.4%) and $131.39 million in FY2021 (+27.5%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q3 2017.
- Year over year, Operating Expenses has now increased in each of the last 12 quarters, with growth averaging 7.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 29.0%); the low point was Q2 2023 (a decline of 2.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $47.04 million (Q1 2026), $46.99 million (Q4 2025) and $44.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 49.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.35 Mn |
| Mar 31, 2026 | 47.04 Mn |
| Dec 31, 2025 | 46.99 Mn |
| Sep 30, 2025 | 44.23 Mn |
| Jun 30, 2025 | 45.81 Mn |
| Mar 31, 2025 | 45.18 Mn |
| Dec 31, 2024 | 44.27 Mn |
| Sep 30, 2024 | 39.54 Mn |
| Jun 30, 2024 | 41.65 Mn |
| Mar 31, 2024 | 41.91 Mn |
| Dec 31, 2023 | 41.18 Mn |
| Sep 30, 2023 | 38.14 Mn |
| Jun 30, 2023 | 38.95 Mn |
| Mar 31, 2023 | 38.08 Mn |
| Dec 31, 2022 | 38.16 Mn |
| Sep 30, 2022 | 35.83 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 36.32 Mn |
| Dec 31, 2021 | 35.79 Mn |
| Sep 30, 2021 | 33.01 Mn |
API Access
Si-Bone 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=operating-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();