Sintx Technologies (SINT) Accumulated Expenses (2013 - 2026)
Sintx Technologies' Accumulated Expenses was $892,000 in Q1 2026, down 23.2% from $1.16 million a year earlier but up 111.4% from the prior quarter.
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Analysis
Sintx Technologies (SINT) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Sintx Technologies came in at $422,000, down 57.2% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $986,000 in FY2024 (-29.8%), $1.4 million in FY2023 (-13.2%), $1.62 million in FY2022 (+40.7%) and $1.15 million in FY2021 (+26.5%).
- Quarterly Accumulated Expenses has moved between $422,000 (Q4 2025) and $2.04 million (Q1 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for seven straight quarters, with an average decline of 31.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2023 (growth of 80.6%); the worst was Q2 2025 (a decline of 62.5%).
- Per Business Quant data, SINT's Accumulated Expenses in the three quarters before Q1 2026 was $422,000 (Q4 2025), $1.05 million (Q3 2025) and $585,000 (Q2 2025).
Peer Set
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 | Sintx Technologies | 10.81 Mn | 10.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 892,000.00 |
| Dec 31, 2025 | 422,000.00 |
| Sep 30, 2025 | 1.05 Mn |
| Jun 30, 2025 | 585,000.00 |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2024 | 986,000.00 |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 1.75 Mn |
| Jun 30, 2023 | 1.51 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 1.62 Mn |
| Sep 30, 2022 | 1.55 Mn |
| Jun 30, 2022 | 1.55 Mn |
| Mar 31, 2022 | 833,000.00 |
| Dec 31, 2021 | 1.15 Mn |
| Sep 30, 2021 | 1.61 Mn |
| Jun 30, 2021 | 1.27 Mn |
API Access
Sintx Technologies Accumulated 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=accumulated-expenses&ticker=SINT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();