Sintx Technologies (SINT) Operating Expenses (2013 - 2026)
Sintx Technologies (SINT) reported Operating Expenses of $3.35 million for Q1 2026, up 33.7% from $2.51 million a year earlier and up 33.7% from the prior quarter.
Powered by 
Analysis
Sintx Technologies (SINT) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Sintx Technologies' Operating Expenses came in at $12.03 million, down 19.6% year-over-year; for FY2025, it came in at $11.18 million, down 30.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $16.12 million in FY2024 (+6.1%), $15.2 million in FY2023 (+20.3%), $12.63 million in FY2022 (+17.2%) and $10.78 million in FY2021 (+25.0%).
- Five-year quarterly Operating Expenses spans a low of $2.12 million in Q4 2024 and a high of $7 million in Q3 2024.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 3.5%.
- The high point for year-over-year Operating Expenses in five years was Q3 2024 (growth of 67.6%); the low point was Q3 2025 (a decline of 50.7%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $2.51 million (Q4 2025), $3.45 million (Q3 2025) and $2.72 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Sintx Technologies | 9.65 Mn | 9.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.35 Mn |
| Dec 31, 2025 | 2.51 Mn |
| Sep 30, 2025 | 3.45 Mn |
| Jun 30, 2025 | 2.72 Mn |
| Mar 31, 2025 | 2.51 Mn |
| Dec 31, 2024 | 2.12 Mn |
| Sep 30, 2024 | 7.00 Mn |
| Jun 30, 2024 | 3.35 Mn |
| Mar 31, 2024 | 3.66 Mn |
| Dec 31, 2023 | 3.18 Mn |
| Sep 30, 2023 | 4.18 Mn |
| Jun 30, 2023 | 3.87 Mn |
| Mar 31, 2023 | 3.98 Mn |
| Dec 31, 2022 | 3.62 Mn |
| Sep 30, 2022 | 3.13 Mn |
| Jun 30, 2022 | 2.96 Mn |
| Mar 31, 2022 | 2.93 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 2.87 Mn |
| Jun 30, 2021 | 2.39 Mn |
API Access
Sintx Technologies 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=SINT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SINT", "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=SINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();