Si-Bone (SIBN) Non Operating Interest Expenses (2017 - 2026)
Si-Bone (SIBN) reported Non Operating Interest Expenses of $608,000 for Q3 2026, down 9.3% from $670,000 a year earlier but up 1.7% 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 Sep 30, 2026, Si-Bone's Non Operating Interest Expenses came in at $2.43 million, down 13.0% 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 $889,000 in Q4 2023.
- Year over year, Non Operating Interest Expenses has now declined in each of the last eight quarters, with an average decline of 16.8% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2022 (growth of 55.1%); the low point was Q3 2022 (a decline of 71.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $598,000 (Q2 2026), $592,000 (Q1 2026) and $630,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 608,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 608,000.00 |
| 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 |
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();