Si-Bone (SIBN) Total Non-Current Liabilities (2017 - 2025)
Si-Bone's Total Non-Current Liabilities was $61.02 million in Q4 2025, down 3.8% from $63.46 million a year earlier and down 1.8% from the prior quarter.
Powered by 
Analysis
Si-Bone (SIBN) Total Non-Current Liabilities (2017 - 2025) Analysis & Trends
From Q4 2017 onward, Si-Bone has reported Total Non-Current Liabilities for 31 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $63.46 million in FY2024 (+4.0%), $61.03 million in FY2023 (+3.1%), $59.22 million in FY2022 (+5.7%) and $56.03 million in FY2021 (+5.9%).
- Quarterly Total Non-Current Liabilities has moved between $49.49 million (Q3 2021) and $63.46 million (Q4 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 3.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 12.0%); the worst was Q4 2025 (a decline of 3.8%).
- Per Business Quant data, SIBN's Total Non-Current Liabilities in the three quarters before Q4 2025 was $62.15 million (Q3 2025), $60.58 million (Q2 2025) and $60.02 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Si-Bone | 840.31 Mn | 256.12 Mn | 44.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 61.02 Mn |
| Sep 30, 2025 | 62.15 Mn |
| Jun 30, 2025 | 60.58 Mn |
| Mar 31, 2025 | 60.02 Mn |
| Dec 31, 2024 | 63.46 Mn |
| Sep 30, 2024 | 62.01 Mn |
| Jun 30, 2024 | 59.10 Mn |
| Mar 31, 2024 | 58.16 Mn |
| Dec 31, 2023 | 61.03 Mn |
| Sep 30, 2023 | 57.26 Mn |
| Jun 30, 2023 | 56.39 Mn |
| Mar 31, 2023 | 55.09 Mn |
| Dec 31, 2022 | 59.22 Mn |
| Sep 30, 2022 | 55.41 Mn |
| Jun 30, 2022 | 55.28 Mn |
| Mar 31, 2022 | 54.37 Mn |
| Dec 31, 2021 | 56.03 Mn |
| Sep 30, 2021 | 49.49 Mn |
| Jun 30, 2021 | 52.25 Mn |
| Mar 31, 2021 | 53.25 Mn |
API Access
Si-Bone Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();