Si-Bone (SIBN) Total Current Liabilities (2017 - 2026)
Si-Bone (SIBN) reported Total Current Liabilities of $24.04 million for Q2 2026, down 2.9% from $24.75 million a year earlier but up 11.9% from the prior quarter.
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Analysis
Si-Bone (SIBN) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Si-Bone posted Total Current Liabilities of $25.28 million, down 6.8% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $27.13 million in FY2024 (+15.7%), $23.46 million in FY2023 (+10.8%), $21.18 million in FY2022 (+25.4%) and $16.89 million in FY2021 (+25.4%).
- Five-year quarterly Total Current Liabilities spans a low of $14.56 million in Q3 2021 and a high of $27.13 million in Q4 2024.
- Year over year, Total Current Liabilities has now declined in each of the last three quarters, with growth averaging 7.2% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2022 (growth of 32.1%); the low point was Q1 2026 (a decline of 10.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21.49 million (Q1 2026), $25.28 million (Q4 2025) and $26.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Si-Bone | 855.95 Mn | 271.76 Mn | 44.55 Mn | 24.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.04 Mn |
| Mar 31, 2026 | 21.49 Mn |
| Dec 31, 2025 | 25.28 Mn |
| Sep 30, 2025 | 26.44 Mn |
| Jun 30, 2025 | 24.75 Mn |
| Mar 31, 2025 | 23.95 Mn |
| Dec 31, 2024 | 27.13 Mn |
| Sep 30, 2024 | 24.68 Mn |
| Jun 30, 2024 | 22.06 Mn |
| Mar 31, 2024 | 20.86 Mn |
| Dec 31, 2023 | 23.46 Mn |
| Sep 30, 2023 | 19.37 Mn |
| Jun 30, 2023 | 18.20 Mn |
| Mar 31, 2023 | 16.63 Mn |
| Dec 31, 2022 | 21.18 Mn |
| Sep 30, 2022 | 18.56 Mn |
| Jun 30, 2022 | 16.67 Mn |
| Mar 31, 2022 | 15.45 Mn |
| Dec 31, 2021 | 16.89 Mn |
| Sep 30, 2021 | 14.56 Mn |
API Access
Si-Bone Total 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-current-liabilities&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();