Si-Bone (SIBN) Inventory (2017 - 2026)
Si-Bone (SIBN) recorded Inventory of $38.39 million in Q2 2026, up 12.1% from $34.25 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Si-Bone (SIBN) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone reported Inventory of $33.9 million, up 25.2% from FY2024.
- Annual Inventory has increased for eight straight years, with a five-year compound annual growth rate of 43.2% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $27.07 million in FY2024 (+33.7%), $20.25 million in FY2023 (+17.2%), $17.28 million in FY2022 (+50.3%) and $11.5 million in FY2021 (+104.1%).
- The Q2 2026 figure is the highest quarterly Inventory in data going back to Q4 2017.
- On a year-over-year basis, Inventory has increased for 28 consecutive quarters, with growth averaging 29.2% over the last eight quarters.
- The year-over-year growth in Inventory has ranged between 12.1% (Q2 2026) and 104.1% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $35.53 million (Q1 2026), $33.9 million (Q4 2025) and $35.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 38.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.39 Mn |
| Mar 31, 2026 | 35.53 Mn |
| Dec 31, 2025 | 33.90 Mn |
| Sep 30, 2025 | 35.73 Mn |
| Jun 30, 2025 | 34.25 Mn |
| Mar 31, 2025 | 30.38 Mn |
| Dec 31, 2024 | 27.07 Mn |
| Sep 30, 2024 | 25.52 Mn |
| Jun 30, 2024 | 23.23 Mn |
| Mar 31, 2024 | 21.05 Mn |
| Dec 31, 2023 | 20.25 Mn |
| Sep 30, 2023 | 22.34 Mn |
| Jun 30, 2023 | 20.55 Mn |
| Mar 31, 2023 | 17.79 Mn |
| Dec 31, 2022 | 17.28 Mn |
| Sep 30, 2022 | 16.85 Mn |
| Jun 30, 2022 | 16.48 Mn |
| Mar 31, 2022 | 14.71 Mn |
| Dec 31, 2021 | 11.50 Mn |
| Sep 30, 2021 | 10.25 Mn |
API Access
Si-Bone Inventory 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=inventory&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();