Si-Bone (SIBN) Inventory (2017 - 2026)
Si-Bone (SIBN) recorded Inventory of $42.35 million in Q3 2026, up 18.5% from $35.73 million a year earlier and up 10.3% 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 Q3 2026 figure is the highest quarterly Inventory in data going back to Q4 2017.
- On a year-over-year basis, Inventory has increased for 29 consecutive quarters, with growth averaging 29.8% 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 $38.39 million (Q2 2026), $35.53 million (Q1 2026) and $33.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.64 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.34 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 3.13 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 5.75 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 3.32 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.16 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.81 Bn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 42.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.35 Mn |
| 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 |
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();