Sigyn Therapeutics (SIGY) Selling, General & Administrative (2014 - 2025)
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Analysis
Sigyn Therapeutics (SIGY) Selling, General & Administrative (2014 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 306,796.00 |
| Jun 30, 2025 | 412,023.00 |
| Mar 31, 2025 | 487,041.00 |
| Dec 31, 2024 | 495,744.00 |
| Sep 30, 2024 | 564,683.00 |
| Jun 30, 2024 | 324,868.00 |
| Mar 31, 2024 | 359,541.00 |
| Dec 31, 2023 | 613,746.00 |
| Sep 30, 2023 | 390,033.00 |
| Jun 30, 2023 | 317,250.00 |
| Mar 31, 2023 | 335,731.00 |
| Dec 31, 2022 | 330,716.00 |
| Sep 30, 2022 | 399,812.00 |
| Jun 30, 2022 | 377,981.00 |
| Mar 31, 2022 | 380,644.00 |
| Dec 31, 2021 | 505,180.00 |
| Sep 30, 2021 | 345,860.00 |
| Jun 30, 2021 | 219,832.00 |
| Mar 31, 2021 | 203,330.00 |
| Dec 31, 2020 | -73,017.00 |
API Access
Sigyn Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=SIGY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SIGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();