Si-Bone (SIBN) Change in Inventory (2017 - 2026)
Si-Bone (SIBN) recorded Change in Inventory of $4.09 million in Q3 2026, up 100.5% from $2.04 million a year earlier and up 45.7% from the prior quarter.
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Analysis
Si-Bone (SIBN) Change in Inventory (2017 - 2026) Analysis & Trends
On a TTM basis, Si-Bone's Change in Inventory came in at $7.29 million as of Sep 30, 2026, down 41.5% year-over-year; for FY2025, it was $8.68 million, up 7.9% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 99.6% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $8.05 million in FY2024 (+70.5%), $4.72 million in FY2023 (-21.7%), $6.03 million in FY2022 (+4.2%) and $5.78 million in FY2021.
- The Q3 2026 figure is the highest quarterly Change in Inventory since Q2 2025.
- On a year-over-year basis, Change in Inventory rose in three of the last six quarters, with growth averaging 76.8%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 500.3% in Q3 2023, against a decline of 85.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.81 million (Q2 2026), $2.04 million (Q1 2026) and -$1.65 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 51.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 51.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 228.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 86.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 24.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 154.00 Mn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 4.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.09 Mn |
| Jun 30, 2026 | 2.81 Mn |
| Mar 31, 2026 | 2.04 Mn |
| Dec 31, 2025 | -1.65 Mn |
| Sep 30, 2025 | 2.04 Mn |
| Jun 30, 2025 | 4.53 Mn |
| Mar 31, 2025 | 3.77 Mn |
| Dec 31, 2024 | 2.13 Mn |
| Sep 30, 2024 | 2.61 Mn |
| Jun 30, 2024 | 2.54 Mn |
| Mar 31, 2024 | 772,000.00 |
| Dec 31, 2023 | -510,000.00 |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 2.92 Mn |
| Mar 31, 2023 | 536,000.00 |
| Dec 31, 2022 | 850,000.00 |
| Sep 30, 2022 | 296,000.00 |
| Jun 30, 2022 | 1.70 Mn |
| Mar 31, 2022 | 3.18 Mn |
| Dec 31, 2021 | 1.24 Mn |
API Access
Si-Bone Change in 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=change-in-inventory&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();