Target Group Inc. (CBDY) Enterprise Value (2015 - 2023)
Target (CBDY) reported Enterprise Value of $5.72 million for Q3 2023, down 4.2% from $5.96 million a year earlier but up 11.8% from the prior quarter.
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Analysis
Target Group Inc. (CBDY) Enterprise Value (2015 - 2023) Analysis & Trends
Over the twelve months ended Sep 30, 2023, Target's Enterprise Value came in at $4.37 million, down 20.8% year-over-year; for FY2021, it came in at $6.05 million, up 9.0% from FY2020.
- Enterprise Value has a five-year compound annual growth rate of -54.6% (FY2016 to FY2021).
- By year, Enterprise Value came in at $5.55 million in FY2020 (-32.3%), $8.2 million in FY2019 (+89.9%), $4.32 million in FY2018 and $24,081 in FY2017 (-100.0%).
- Five-year quarterly Enterprise Value spans a low of $4.32 million in Q4 2018 and a high of $38.86 million in Q2 2019.
- Year over year, Enterprise Value gained in 1 of the last six quarters, with an average decline of 26.5%.
- The high point for year-over-year Enterprise Value in five years was Q1 2019 (growth of 810.9%); the low point was Q3 2020 (a decline of 81.5%).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 5.72 Mn |
| Jun 30, 2023 | 5.11 Mn |
| Sep 30, 2022 | 5.96 Mn |
| Jun 30, 2022 | 6.05 Mn |
| Mar 31, 2022 | 5.97 Mn |
| Dec 31, 2021 | 6.05 Mn |
| Sep 30, 2021 | 12.28 Mn |
| Jun 30, 2021 | 12.26 Mn |
| Mar 31, 2021 | 11.06 Mn |
| Dec 31, 2020 | 5.55 Mn |
| Sep 30, 2020 | 4.99 Mn |
| Jun 30, 2020 | 11.26 Mn |
| Mar 31, 2020 | 5.57 Mn |
| Dec 31, 2019 | 8.20 Mn |
| Sep 30, 2019 | 26.98 Mn |
| Jun 30, 2019 | 38.86 Mn |
| Mar 31, 2019 | 7.38 Mn |
| Dec 31, 2018 | 4.32 Mn |
| Sep 30, 2018 | 3.89 Mn |
| Jun 30, 2018 | 2.25 Mn |
API Access
Target Group Inc. Enterprise Value 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=enterprise-value&ticker=CBDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "CBDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=CBDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();