Xtant Medical Holdings (XTNT) Non Operating Interest Expenses (2010 - 2025)
Xtant Medical Holdings (XTNT) posted Non Operating Interest Expenses of $718,000 for Q4 2025, down 36.7% from $1.13 million a year earlier and down 20.6% from the prior quarter.
Xtant Medical Holdings (XTNT) Non Operating Interest Expenses (2010 - 2025) Analysis & Trends
For FY2025, Xtant Medical Holdings' Non Operating Interest Expenses came in at $3.67 million, down 11.8% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In prior years, Xtant Medical Holdings' Non Operating Interest Expenses was $4.16 million in FY2024 (+41.6%), $2.94 million in FY2023 (+73.6%), $1.69 million in FY2022 (+70.1%) and $995,000 in FY2021 (-83.4%).
- The Q4 2025 figure stands as the lowest quarterly Non Operating Interest Expenses since Q1 2023.
- On a year-over-year basis, Non Operating Interest Expenses increased in six of the last eight quarters, with growth averaging 16.6%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2022, with growth of 99.5%; the weakest was Q1 2021, with a decline of 99.9%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $904,000 (Q3 2025), $1 million (Q2 2025) and $1.05 million (Q1 2025).
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 | Xtant Medical Holdings | 50.41 Mn | 10.62 Mn | 17.75 Mn | 718,000.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 718,000.00 |
| Sep 30, 2025 | 904,000.00 |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.05 Mn |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2024 | 1.20 Mn |
| Jun 30, 2024 | 992,000.00 |
| Mar 31, 2024 | 835,000.00 |
| Dec 31, 2023 | 818,000.00 |
| Sep 30, 2023 | 760,000.00 |
| Jun 30, 2023 | 786,000.00 |
| Mar 31, 2023 | 575,000.00 |
| Dec 31, 2022 | 495,000.00 |
| Sep 30, 2022 | 440,000.00 |
| Jun 30, 2022 | 397,000.00 |
| Mar 31, 2022 | 359,000.00 |
| Dec 31, 2021 | 466,000.00 |
| Sep 30, 2021 | 329,000.00 |
| Jun 30, 2021 | 199,000.00 |
| Mar 31, 2021 | 1,000.00 |
Xtant Medical Holdings 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=XTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "XTNT", "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=XTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();