Sigyn Therapeutics (SIGY) Operating Expenses (2017 - 2025)
Sigyn Therapeutics (SIGY) posted Operating Expenses of $386,529 for Q3 2025, down 52.2% from $808,458 a year earlier and down 17.7% from the prior quarter.
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Analysis
Sigyn Therapeutics (SIGY) Operating Expenses (2017 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Sigyn Therapeutics was $1.88 million, down 31.8% year-over-year; for FY2024, it was $2.52 million, up 2.6% from FY2023.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 32.1% (FY2019 to FY2024).
- In prior years, Sigyn Therapeutics' Operating Expenses was $2.46 million in FY2023 (+14.3%), $2.15 million in FY2022 (+6.9%), $2.01 million in FY2021 (+119.1%) and $916,434 in FY2020 (+46.5%).
- The Q3 2025 figure stands as the lowest quarterly Operating Expenses since Q4 2020.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with an average decline of 2.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 182.5%; the weakest was Q3 2025, with a decline of 52.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $469,513 (Q2 2025), $546,059 (Q1 2025) and $478,010 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Sigyn Therapeutics | 64,215.08 | -46,853.92 | - | 386,529.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 386,529.00 |
| Jun 30, 2025 | 469,513.00 |
| Mar 31, 2025 | 546,059.00 |
| Dec 31, 2024 | 478,010.00 |
| Sep 30, 2024 | 808,458.00 |
| Jun 30, 2024 | 602,805.00 |
| Mar 31, 2024 | 629,972.00 |
| Dec 31, 2023 | 717,236.00 |
| Sep 30, 2023 | 642,814.00 |
| Jun 30, 2023 | 574,009.00 |
| Mar 31, 2023 | 521,258.00 |
| Dec 31, 2022 | 471,588.00 |
| Sep 30, 2022 | 533,647.00 |
| Jun 30, 2022 | 532,795.00 |
| Mar 31, 2022 | 609,236.00 |
| Dec 31, 2021 | 590,939.00 |
| Sep 30, 2021 | 573,363.00 |
| Jun 30, 2021 | 441,818.00 |
| Mar 31, 2021 | 402,096.00 |
| Dec 31, 2020 | 344,567.00 |
API Access
Sigyn Therapeutics 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=SIGY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SIGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();