Sigyn Therapeutics (SIGY) Total Current Liabilities (2016 - 2025)
Sigyn Therapeutics' Total Current Liabilities was $3.99 million in Q3 2025, down 6.7% from $4.28 million a year earlier and down 27.3% from the prior quarter.
Sigyn Therapeutics (SIGY) Total Current Liabilities (2016 - 2025) Analysis & Trends
At the end of FY2024, Total Current Liabilities at Sigyn Therapeutics came in at $4.61 million, up 27.9% from FY2023.
- Total Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 450.8% (FY2019 to FY2024).
- In earlier years, Total Current Liabilities was $3.61 million in FY2023 (+76.1%), $2.05 million in FY2022 (+179.0%), $734,218 in FY2021 (+23.4%) and $594,903 in FY2020.
- The Q3 2025 figure marks the lowest quarterly Total Current Liabilities since Q2 2024.
- Compared with a year earlier, Total Current Liabilities was higher in seven of the last eight quarters, with growth averaging 30.2%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2023 (growth of 198.0%); the worst was Q1 2021 (a decline of 78.5%).
- Per Business Quant data, SIGY's Total Current Liabilities in the three quarters before Q3 2025 was $5.49 million (Q2 2025), $5.15 million (Q1 2025) and $4.61 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Sigyn Therapeutics | 64,215.08 | -46,853.92 | - | 3.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.99 Mn |
| Jun 30, 2025 | 5.49 Mn |
| Mar 31, 2025 | 5.15 Mn |
| Dec 31, 2024 | 4.61 Mn |
| Sep 30, 2024 | 4.28 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 4.23 Mn |
| Dec 31, 2023 | 3.61 Mn |
| Sep 30, 2023 | 3.82 Mn |
| Jun 30, 2023 | 3.25 Mn |
| Mar 31, 2023 | 2.83 Mn |
| Dec 31, 2022 | 2.05 Mn |
| Sep 30, 2022 | 1.90 Mn |
| Jun 30, 2022 | 1.36 Mn |
| Mar 31, 2022 | 950,848.00 |
| Dec 31, 2021 | 734,218.00 |
| Sep 30, 2021 | 829,784.00 |
| Jun 30, 2021 | 753,640.00 |
| Mar 31, 2021 | 689,213.00 |
| Dec 31, 2020 | 594,903.00 |
Sigyn Therapeutics 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=SIGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "SIGY", "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=SIGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();