Si-Bone (SIBN) Accumulated Expenses (2017 - 2026)
Si-Bone (SIBN) posted Accumulated Expenses of $15.08 million for Q2 2026, down 6.6% from $16.15 million a year earlier but up 7.2% from the prior quarter.
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Analysis
Si-Bone (SIBN) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone's Accumulated Expenses came in at $19.7 million, up 1.1% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In prior years, Si-Bone's Accumulated Expenses was $19.49 million in FY2024 (+11.7%), $17.45 million in FY2023 (+29.2%), $13.51 million in FY2022 (+9.4%) and $12.35 million in FY2021 (+21.1%).
- Quarterly Accumulated Expenses has run from a low of $9.17 million in Q1 2022 to a high of $19.7 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 9.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 29.2%; the weakest was Q1 2026, with a decline of 7.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $14.07 million (Q1 2026), $19.7 million (Q4 2025) and $17.59 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 | 15.08 Mn |
| Mar 31, 2026 | 14.07 Mn |
| Dec 31, 2025 | 19.70 Mn |
| Sep 30, 2025 | 17.59 Mn |
| Jun 30, 2025 | 16.15 Mn |
| Mar 31, 2025 | 15.16 Mn |
| Dec 31, 2024 | 19.49 Mn |
| Sep 30, 2024 | 16.16 Mn |
| Jun 30, 2024 | 13.50 Mn |
| Mar 31, 2024 | 11.77 Mn |
| Dec 31, 2023 | 17.45 Mn |
| Sep 30, 2023 | 13.55 Mn |
| Jun 30, 2023 | 10.64 Mn |
| Mar 31, 2023 | 9.90 Mn |
| Dec 31, 2022 | 13.51 Mn |
| Sep 30, 2022 | 11.16 Mn |
| Jun 30, 2022 | 10.19 Mn |
| Mar 31, 2022 | 9.17 Mn |
| Dec 31, 2021 | 12.35 Mn |
| Sep 30, 2021 | 10.43 Mn |
API Access
Si-Bone Accumulated 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=accumulated-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();