Dentsply Sirona (XRAY) Non Operating Interest Expenses (2009 - 2026)
Dentsply Sirona (XRAY) recorded Non Operating Interest Expenses of $22 million in Q2 2026, down 8.3% from $24 million a year earlier and down 8.3% from the prior quarter.
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Analysis
Dentsply Sirona (XRAY) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Dentsply Sirona's Non Operating Interest Expenses came in at $91 million as of Jun 30, 2026, up 18.2% year-over-year; for FY2025, it came in at $88 million, up 27.5% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $69 million in FY2024 (-14.8%), $81 million in FY2023 (+24.6%), $65 million in FY2022 (+6.6%) and $61 million in FY2021 (+27.1%).
- Quarterly Non Operating Interest Expenses has ranged from $12 million in Q1 2022 to $24 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in five of the last eight quarters, with growth averaging 13.1%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 66.7% in Q1 2023, against a decline of 22.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $24 million (Q1 2026), $22 million (Q4 2025) and $23 million (Q3 2025).
Peer Set
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 | Dentsply Sirona | 1.76 Bn | 646.91 Mn | 493.00 Mn | 22.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.00 Mn |
| Mar 31, 2026 | 24.00 Mn |
| Dec 31, 2025 | 22.00 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Jun 30, 2025 | 24.00 Mn |
| Mar 31, 2025 | 19.00 Mn |
| Dec 31, 2024 | 16.00 Mn |
| Sep 30, 2024 | 18.00 Mn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 19.00 Mn |
| Jun 30, 2023 | 22.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 24.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 12.00 Mn |
| Dec 31, 2021 | 18.00 Mn |
| Sep 30, 2021 | 14.00 Mn |
API Access
Dentsply Sirona 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=XRAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=XRAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();