Xtant Medical Holdings (XTNT) Other Operating Expenses (2010 - 2025)
Xtant Medical Holdings (XTNT) posted Other Operating Expenses of $11.75 million for Q3 2025, down 1.2% from $11.89 million a year earlier but up 1.1% from the prior quarter.
Xtant Medical Holdings (XTNT) Other Operating Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Other Operating Expenses at Xtant Medical Holdings was $46.25 million, down 5.8% year-over-year; for FY2024, it came in at $33,000, down 32.7% from FY2023.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -73.8% (FY2019 to FY2024).
- In prior years, Xtant Medical Holdings' Other Operating Expenses was $49,000 in FY2023 (-99.8%), $22.52 million in FY2022 (+7.1%), $21.03 million in FY2021 (+0.2%) and $20.98 million in FY2020 (-20.8%).
- Quarterly Other Operating Expenses has run from a low of $4.86 million in Q1 2021 to a high of $13.18 million in Q2 2024 over five years.
- On a year-over-year basis, Other Operating Expenses has declined in each of the last three quarters, with growth averaging 26.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2023, with growth of 98.6%; the weakest was Q1 2021, with a decline of 24.3%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $11.62 million (Q2 2025), $11.2 million (Q1 2025) and $11.68 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Xtant Medical Holdings | 50.41 Mn | 10.62 Mn | 17.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 11.75 Mn |
| Jun 30, 2025 | 11.62 Mn |
| Mar 31, 2025 | 11.20 Mn |
| Dec 31, 2024 | 11.68 Mn |
| Sep 30, 2024 | 11.89 Mn |
| Jun 30, 2024 | 13.18 Mn |
| Mar 31, 2024 | 12.46 Mn |
| Dec 31, 2023 | 11.58 Mn |
| Sep 30, 2023 | 11.09 Mn |
| Jun 30, 2023 | 8.72 Mn |
| Mar 31, 2023 | 7.05 Mn |
| Dec 31, 2022 | 5.83 Mn |
| Sep 30, 2022 | 5.84 Mn |
| Jun 30, 2022 | 5.64 Mn |
| Mar 31, 2022 | 5.21 Mn |
| Dec 31, 2021 | 5.31 Mn |
| Sep 30, 2021 | 5.27 Mn |
| Jun 30, 2021 | 5.59 Mn |
| Mar 31, 2021 | 4.86 Mn |
| Dec 31, 2020 | 5.41 Mn |
Xtant Medical Holdings Other Operating 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=other-operating-expenses&ticker=XTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=XTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();