SRX Global (SRXH) Return on Capital Employed [ROCE] (2019 - 2025)
SRX Global (SRXH) recorded Return on Capital Employed [ROCE] of -23.16% in fiscal Q1 2025 (quarter ended Mar 31, 2025), up 1094.41 percentage points from -1117.57% a year earlier but down 4.54 percentage points from the prior quarter.
SRX Global (SRXH) Return on Capital Employed [ROCE] (2019 - 2025) Analysis & Trends
For FY2024 (ended Dec 31, 2024), SRX Global reported Return on Capital Employed [ROCE] of 45.96%, up 197.08 percentage points from FY2023.
- Annual Return on Capital Employed [ROCE] has a three-year change of +77.03 percentage points (FY2021 to FY2024).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at -151.12% in FY2023 (-75.21 pp), -75.91% in FY2022 (-44.85 pp) and -31.07% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has ranged from -1117.57% in fiscal Q1 2024 to -18.62% in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in two of the last seven quarters, with an average year-over-year change of -67.13 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 1094.41 percentage points in fiscal Q1 2025, against a drop of 999.47 percentage points in fiscal Q1 2024 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 8.97% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 20.49% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -4.62% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.87% |
| 10 | SRX Global | 899,803.21 | 899,803.21 | 1.05 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 60.46% |
| Dec 31, 2024 | 20.39% |
| Jun 30, 2024 | -371.07% |
| Mar 31, 2024 | -1,117.57% |
| Dec 31, 2023 | -207.62% |
| Sep 30, 2023 | -185.80% |
| Jun 30, 2023 | -171.37% |
| Mar 31, 2023 | -118.10% |
| Dec 31, 2022 | -84.11% |
| Sep 30, 2022 | -33.56% |
| Jun 30, 2022 | -26.41% |
| Mar 31, 2022 | -24.21% |
| Dec 31, 2021 | -24.89% |
| Sep 30, 2021 | -26.61% |
| Jun 30, 2021 | -56.63% |
| Sep 30, 2020 | -200.23% |
| Jun 30, 2020 | -342.40% |
| Mar 31, 2020 | -218.07% |
| Dec 31, 2019 | -1,553.88% |
| Sep 30, 2019 | -795.84% |
SRX Global 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=SRXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SRXH", "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=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();