Xtant Medical Holdings (XTNT) Operating Expenses (2010 - 2025)
Xtant Medical Holdings' Operating Expenses was $19.45 million in Q3 2025, down 3.2% from $20.08 million a year earlier and down 1.1% from the prior quarter.
Powered by 
Analysis
Xtant Medical Holdings (XTNT) Operating Expenses (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Xtant Medical Holdings' Operating Expenses was $76.2 million through Sep 30, 2025, down 8.6% year-over-year; for FY2024, it was $80.29 million, up 22.3% from FY2023.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 12.4% (FY2019 to FY2024).
- In earlier years, Operating Expenses was $65.63 million in FY2023 (+68.7%), $38.89 million in FY2022 (+7.0%), $36.34 million in FY2021 (+3.4%) and $35.14 million in FY2020 (-21.5%).
- Quarterly Operating Expenses has moved between $8.1 million (Q1 2021) and $21.53 million (Q2 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with growth averaging 26.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 108.8%); the worst was Q1 2021 (a decline of 26.2%).
- Per Business Quant data, XTNT's Operating Expenses in the three quarters before Q3 2025 was $19.66 million (Q2 2025), $19.18 million (Q1 2025) and $17.91 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Xtant Medical Holdings | 50.41 Mn | 10.62 Mn | 17.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 19.45 Mn |
| Jun 30, 2025 | 19.66 Mn |
| Mar 31, 2025 | 19.18 Mn |
| Dec 31, 2024 | 17.91 Mn |
| Sep 30, 2024 | 20.08 Mn |
| Jun 30, 2024 | 21.53 Mn |
| Mar 31, 2024 | 20.77 Mn |
| Dec 31, 2023 | 20.94 Mn |
| Sep 30, 2023 | 18.72 Mn |
| Jun 30, 2023 | 13.85 Mn |
| Mar 31, 2023 | 12.11 Mn |
| Dec 31, 2022 | 10.03 Mn |
| Sep 30, 2022 | 9.80 Mn |
| Jun 30, 2022 | 9.67 Mn |
| Mar 31, 2022 | 9.39 Mn |
| Dec 31, 2021 | 9.61 Mn |
| Sep 30, 2021 | 8.64 Mn |
| Jun 30, 2021 | 10.01 Mn |
| Mar 31, 2021 | 8.10 Mn |
| Dec 31, 2020 | 8.74 Mn |
API Access
Xtant Medical Holdings 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=operating-expenses&ticker=XTNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=XTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();