Target Group Inc. (CBDY) Return on Capital Employed [ROCE] (2018 - 2023)
Target (CBDY) posted Return on Capital Employed [ROCE] of -69.32% for Q3 2023, down 85.64 percentage points from 16.32% a year earlier and down 87.80 percentage points from the prior quarter.
Target Group Inc. (CBDY) Return on Capital Employed [ROCE] (2018 - 2023) Analysis & Trends
For FY2022, Target's Return on Capital Employed [ROCE] came in at 20.07%, up 31.19 percentage points from FY2021.
- Annual Return on Capital Employed [ROCE] has increased for three consecutive years, with a three-year change of +92.36 percentage points (FY2019 to FY2022).
- In prior years, Target's Return on Capital Employed [ROCE] was -11.12% in FY2021 (+4.72 pp), -15.84% in FY2020 (+56.45 pp) and -72.29% in FY2019.
- The Q3 2023 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2020.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in six of the last seven quarters, with an average year-over-year change of +6.65 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2021, with a gain of 74.05 percentage points; the weakest was Q3 2023, with a drop of 85.64 percentage points.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -69.32% |
| Jun 30, 2023 | 18.48% |
| Dec 31, 2022 | 38.54% |
| Sep 30, 2022 | 16.32% |
| Jun 30, 2022 | 6.33% |
| Mar 31, 2022 | -1.60% |
| Dec 31, 2021 | -7.15% |
| Sep 30, 2021 | -12.70% |
| Jun 30, 2021 | -15.60% |
| Mar 31, 2021 | -16.92% |
| Dec 31, 2020 | -15.23% |
| Sep 30, 2020 | -57.89% |
| Jun 30, 2020 | -66.88% |
| Mar 31, 2020 | -90.98% |
| Dec 31, 2019 | -75.21% |
| Sep 30, 2019 | -22.11% |
| Jun 30, 2019 | -29.65% |
| Mar 31, 2019 | -52.99% |
| Dec 31, 2018 | -71.61% |
Target Group Inc. Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CBDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CBDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();