Si-Bone (SIBN) Non Operating Interest Expenses (2017 - 2026)
Si-Bone (SIBN) reported Non Operating Interest Expenses of $598,000 for Q2 2026, down 10.2% from $666,000 a year earlier but up 1.0% from the prior quarter.
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Analysis
Si-Bone (SIBN) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Si-Bone's Non Operating Interest Expenses came in at $2.49 million, down 17.1% year-over-year; for FY2025, it came in at $2.63 million, down 23.6% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $3.44 million in FY2024 (-0.6%), $3.46 million in FY2023 (+22.8%), $2.82 million in FY2022 (-47.5%) and $5.37 million in FY2021 (-12.1%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $561,000 in Q1 2022 and a high of $2.66 million in Q3 2021.
- Year over year, Non Operating Interest Expenses has now declined in each of the last seven quarters, with an average decline of 15.7% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2021 (growth of 141.2%); the low point was Q3 2022 (a decline of 71.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $592,000 (Q1 2026), $630,000 (Q4 2025) and $670,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Si-Bone | 840.31 Mn | 256.12 Mn | 44.55 Mn | 598,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 598,000.00 |
| Mar 31, 2026 | 592,000.00 |
| Dec 31, 2025 | 630,000.00 |
| Sep 30, 2025 | 670,000.00 |
| Jun 30, 2025 | 666,000.00 |
| Mar 31, 2025 | 662,000.00 |
| Dec 31, 2024 | 793,000.00 |
| Sep 30, 2024 | 884,000.00 |
| Jun 30, 2024 | 880,000.00 |
| Mar 31, 2024 | 881,000.00 |
| Dec 31, 2023 | 889,000.00 |
| Sep 30, 2023 | 884,000.00 |
| Jun 30, 2023 | 850,000.00 |
| Mar 31, 2023 | 838,000.00 |
| Dec 31, 2022 | 881,000.00 |
| Sep 30, 2022 | 755,000.00 |
| Jun 30, 2022 | 622,000.00 |
| Mar 31, 2022 | 561,000.00 |
| Dec 31, 2021 | 568,000.00 |
| Sep 30, 2021 | 2.66 Mn |
API Access
Si-Bone Non Operating Interest Expenses 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-operating-interest-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();