Si-Bone (SIBN) Non-Current Assets (2017 - 2026)
Si-Bone (SIBN) posted Non-Current Assets of $28.85 million for Q2 2026, up 22.9% from $23.47 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Si-Bone (SIBN) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone's Non-Current Assets came in at $22.44 million, down 1.0% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- In prior years, Si-Bone's Non-Current Assets was $22.66 million in FY2024 (+19.1%), $19.03 million in FY2023 (-4.6%), $19.94 million in FY2022 (+36.2%) and $14.64 million in FY2021 (+198.7%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q4 2017.
- On a year-over-year basis, Non-Current Assets increased in seven of the last eight quarters, with growth averaging 13.1%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 198.7%; the weakest was Q4 2023, with a decline of 4.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $28 million (Q1 2026), $22.44 million (Q4 2025) and $23.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 28.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.85 Mn |
| Mar 31, 2026 | 28.00 Mn |
| Dec 31, 2025 | 22.44 Mn |
| Sep 30, 2025 | 23.49 Mn |
| Jun 30, 2025 | 23.47 Mn |
| Mar 31, 2025 | 23.08 Mn |
| Dec 31, 2024 | 22.66 Mn |
| Sep 30, 2024 | 23.30 Mn |
| Jun 30, 2024 | 21.51 Mn |
| Mar 31, 2024 | 20.09 Mn |
| Dec 31, 2023 | 19.03 Mn |
| Sep 30, 2023 | 19.86 Mn |
| Jun 30, 2023 | 21.29 Mn |
| Mar 31, 2023 | 20.68 Mn |
| Dec 31, 2022 | 19.94 Mn |
| Sep 30, 2022 | 19.09 Mn |
| Jun 30, 2022 | 17.81 Mn |
| Mar 31, 2022 | 15.59 Mn |
| Dec 31, 2021 | 14.64 Mn |
| Sep 30, 2021 | 8.32 Mn |
API Access
Si-Bone Non-Current Assets 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=non-current-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();