Nocera (NCRA) Return on Capital Employed [ROCE] (2019 - 2026)
Nocera's Return on Capital Employed [ROCE] was -46.28% in Q2 2026, up 67.98 percentage points from -114.25% a year earlier but down 15.17 percentage points from the prior quarter.
Nocera (NCRA) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Nocera came in at -42.20%, up 105.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -3.62 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -147.42% in FY2024 (-59.41 pp), -88.01% in FY2023 (-1.44 pp), -86.57% in FY2022 (+162.96 pp) and -249.53% in FY2021 (-210.96 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -360.87% (Q3 2022) and -31.10% (Q1 2026) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of +11.58 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2023 (a gain of 281.50 percentage points); the worst was Q3 2022 (a drop of 321.47 percentage points).
- Per Business Quant data, NCRA's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -31.10% (Q1 2026), -32.83% (Q4 2025) and -120.80% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.80 Bn | 34.80 Bn | 1.94 Bn | 4.53% |
| 2 | Bunge Global | 19.98 Bn | 16.10 Bn | 1.68 Bn | 6.80% |
| 3 | Tyson Foods | 19.96 Bn | 16.21 Bn | 921.00 Mn | 4.37% |
| 4 | Jbs | 13.22 Bn | -20.05 Bn | 2.59 Bn | 9.59% |
| 5 | Darling Ingredients | 8.93 Bn | 8.47 Bn | 503.37 Mn | 9.82% |
| 6 | Smithfield Foods | 7.31 Bn | 2.27 Bn | 478.00 Mn | 13.26% |
| 7 | Pilgrims Pride | 6.69 Bn | 4.50 Bn | 339.75 Mn | 12.55% |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 12.76% |
| 9 | Seaboard | 3.72 Bn | -1.12 Bn | 221.00 Mn | 5.02% |
| 10 | Nocera | 2.23 Mn | -17.91 Mn | 17,998.00 | -46.28% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -46.28% |
| Mar 31, 2026 | -30.48% |
| Dec 31, 2025 | -32.08% |
| Sep 30, 2025 | -119.49% |
| Jun 30, 2025 | -112.87% |
| Mar 31, 2025 | -146.20% |
| Dec 31, 2024 | -127.38% |
| Sep 30, 2024 | -68.06% |
| Jun 30, 2024 | -63.93% |
| Mar 31, 2024 | -87.11% |
| Dec 31, 2023 | -93.25% |
| Sep 30, 2023 | -79.37% |
| Jun 30, 2023 | -87.16% |
| Mar 31, 2023 | -83.37% |
| Dec 31, 2022 | -67.72% |
| Sep 30, 2022 | -360.87% |
| Jun 30, 2022 | -211.37% |
| Mar 31, 2022 | -216.64% |
| Dec 31, 2021 | -204.74% |
| Sep 30, 2021 | -39.40% |
Nocera 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=NCRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "NCRA", "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=NCRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();