Sigyn Therapeutics (SIGY) Revenue (2014 - 2020)
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Analysis
Sigyn Therapeutics (SIGY) Revenue (2014 - 2020) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 3,834.00 |
| Mar 31, 2020 | 756.00 |
| Dec 31, 2019 | 5,339.00 |
| Sep 30, 2019 | 32,100.00 |
| Jun 30, 2019 | 64,329.00 |
| Mar 31, 2019 | 41,554.00 |
| Dec 31, 2018 | -1.00 |
| Sep 30, 2018 | 90,451.00 |
| Jun 30, 2018 | 5,770.00 |
| Mar 31, 2018 | 23,149.00 |
| Dec 31, 2017 | -922,063.00 |
| Sep 30, 2017 | 255,975.00 |
| Jun 30, 2017 | 432,534.00 |
| Mar 31, 2017 | 268,926.00 |
| Dec 31, 2016 | -1.19 Mn |
| Sep 30, 2016 | 342,164.00 |
| Jun 30, 2016 | 521,505.00 |
| Mar 31, 2016 | 573,662.00 |
| Dec 31, 2015 | 3.26 Mn |
| Jun 30, 2015 | 18,439.00 |
API Access
Sigyn Therapeutics Revenue 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=revenue&ticker=SIGY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SIGY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();