Dentsply Sirona (XRAY) Operating Expenses (2009 - 2026)
Dentsply Sirona (XRAY) reported Operating Expenses of $411 million for Q2 2026, up 7.3% from $383 million a year earlier but down 11.0% from the prior quarter.
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Analysis
Dentsply Sirona (XRAY) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dentsply Sirona's Operating Expenses came in at $1.7 billion, up 0.5% year-over-year; for FY2025, it was $1.61 billion, down 11.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.82 billion in FY2024 (-2.2%), $1.86 billion in FY2023 (+4.9%), $1.78 billion in FY2022 (+2.2%) and $1.74 billion in FY2021 (+12.3%).
- Five-year quarterly Operating Expenses spans a low of $383 million in Q2 2025 and a high of $521 million in Q1 2023.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 2.1%.
- The high point for year-over-year Operating Expenses in five years was Q1 2023 (growth of 22.9%); the low point was Q2 2025 (a decline of 16.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $462 million (Q1 2026), $429 million (Q4 2025) and $397 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Dentsply Sirona | 1.76 Bn | 646.91 Mn | 493.00 Mn | 411.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 411.00 Mn |
| Mar 31, 2026 | 462.00 Mn |
| Dec 31, 2025 | 429.00 Mn |
| Sep 30, 2025 | 397.00 Mn |
| Jun 30, 2025 | 383.00 Mn |
| Mar 31, 2025 | 403.00 Mn |
| Dec 31, 2024 | 451.00 Mn |
| Sep 30, 2024 | 453.00 Mn |
| Jun 30, 2024 | 461.00 Mn |
| Mar 31, 2024 | 458.00 Mn |
| Dec 31, 2023 | 449.00 Mn |
| Sep 30, 2023 | 424.00 Mn |
| Jun 30, 2023 | 470.00 Mn |
| Mar 31, 2023 | 521.00 Mn |
| Dec 31, 2022 | 446.00 Mn |
| Sep 30, 2022 | 445.00 Mn |
| Jun 30, 2022 | 462.00 Mn |
| Mar 31, 2022 | 424.00 Mn |
| Dec 31, 2021 | 432.00 Mn |
| Sep 30, 2021 | 437.00 Mn |
API Access
Dentsply Sirona 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=XRAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XRAY", "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=XRAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();