Sintx Technologies (SINT) Total Current Liabilities (2013 - 2026)
Sintx Technologies (SINT) recorded Total Current Liabilities of $4.17 million in Q1 2026, up 88.7% from $2.21 million a year earlier and up 11.8% from the prior quarter.
Sintx Technologies (SINT) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Sintx Technologies reported Total Current Liabilities of $3.73 million, up 88.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $1.98 million in FY2024 (-31.8%), $2.91 million in FY2023 (-64.0%), $8.08 million in FY2022 (+194.1%) and $2.75 million in FY2021 (-4.6%).
- Quarterly Total Current Liabilities has ranged from $1.98 million in Q4 2024 to $8.08 million in Q4 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 14.0% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 194.1% in Q4 2022, against a decline of 64.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.73 million (Q4 2025), $4.35 million (Q3 2025) and $2.16 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Sintx Technologies | 9.65 Mn | 9.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.17 Mn |
| Dec 31, 2025 | 3.73 Mn |
| Sep 30, 2025 | 4.35 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 2.21 Mn |
| Dec 31, 2024 | 1.98 Mn |
| Sep 30, 2024 | 2.08 Mn |
| Jun 30, 2024 | 3.02 Mn |
| Mar 31, 2024 | 4.09 Mn |
| Dec 31, 2023 | 2.91 Mn |
| Sep 30, 2023 | 3.78 Mn |
| Jun 30, 2023 | 3.93 Mn |
| Mar 31, 2023 | 5.13 Mn |
| Dec 31, 2022 | 8.08 Mn |
| Sep 30, 2022 | 2.87 Mn |
| Jun 30, 2022 | 2.98 Mn |
| Mar 31, 2022 | 2.67 Mn |
| Dec 31, 2021 | 2.75 Mn |
| Sep 30, 2021 | 3.15 Mn |
| Jun 30, 2021 | 3.20 Mn |
Sintx Technologies Total Current Liabilities 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=total-current-liabilities&ticker=SINT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();