Sigyn Therapeutics (SIGY) Total Liabilities (2016 - 2025)
Sigyn Therapeutics (SIGY) recorded Total Liabilities of $6.05 million in Q3 2025, up 39.1% from $4.35 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Sigyn Therapeutics (SIGY) Total Liabilities (2016 - 2025) Analysis & Trends
At the end of FY2024, Sigyn Therapeutics reported Total Liabilities of $4.67 million, up 25.1% from FY2023.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 452.2% (FY2019 to FY2024).
- Across earlier years, Total Liabilities came in at $3.73 million in FY2023 (+67.0%), $2.24 million in FY2022 (+129.4%), $974,843 in FY2021 (+63.9%) and $594,903 in FY2020.
- The Q3 2025 figure is the highest quarterly Total Liabilities in data going back to Q4 2016.
- On a year-over-year basis, Total Liabilities has increased for 19 consecutive quarters, with growth averaging 32.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 1.6% (Q3 2021) to 155.0% (Q1 2023).
- Per Business Quant, the preceding three quarters came in at $5.49 million (Q2 2025), $5.19 million (Q1 2025) and $4.67 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Sigyn Therapeutics | 64,215.08 | -46,853.92 | - | 6.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 6.05 Mn |
| Jun 30, 2025 | 5.49 Mn |
| Mar 31, 2025 | 5.19 Mn |
| Dec 31, 2024 | 4.67 Mn |
| Sep 30, 2024 | 4.35 Mn |
| Jun 30, 2024 | 3.99 Mn |
| Mar 31, 2024 | 4.34 Mn |
| Dec 31, 2023 | 3.73 Mn |
| Sep 30, 2023 | 3.96 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 3.01 Mn |
| Dec 31, 2022 | 2.24 Mn |
| Sep 30, 2022 | 2.10 Mn |
| Jun 30, 2022 | 1.58 Mn |
| Mar 31, 2022 | 1.18 Mn |
| Dec 31, 2021 | 974,843.00 |
| Sep 30, 2021 | 1.08 Mn |
| Jun 30, 2021 | 1.02 Mn |
| Mar 31, 2021 | 689,213.00 |
| Dec 31, 2020 | 594,903.00 |
API Access
Sigyn Therapeutics Total 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-liabilities&ticker=SIGY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SIGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();