Sigyn Therapeutics (SIGY) EBT (2014 - 2025)
Analysis
Sigyn Therapeutics (SIGY) EBT (2014 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -578,503.00 |
| Jun 30, 2025 | -1.45 Mn |
| Mar 31, 2025 | -668,564.00 |
| Dec 31, 2024 | -522,818.00 |
| Sep 30, 2024 | -1.20 Mn |
| Jun 30, 2024 | -862,383.00 |
| Mar 31, 2024 | -758,088.00 |
| Dec 31, 2023 | -1.18 Mn |
| Sep 30, 2023 | -905,726.00 |
| Jun 30, 2023 | -723,124.00 |
| Mar 31, 2023 | -1.34 Mn |
| Dec 31, 2022 | -858,937.00 |
| Sep 30, 2022 | -726,509.00 |
| Jun 30, 2022 | -666,325.00 |
| Mar 31, 2022 | -678,046.00 |
| Dec 31, 2021 | -1.23 Mn |
| Sep 30, 2021 | -665,904.00 |
| Jun 30, 2021 | -649,861.00 |
| Mar 31, 2021 | -461,682.00 |
| Dec 31, 2020 | -452,022.00 |
API Access
Sigyn Therapeutics EBT 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=ebt&ticker=SIGY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SIGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();