Nocera (NCRA) Return on Sales [ROS] (2018 - 2026)
Nocera (NCRA) reported Return on Sales [ROS] of -54.90% for Q2 2026, down 49.78 percentage points from -5.12% a year earlier and down 29.57 percentage points from the prior quarter.
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Analysis
Nocera (NCRA) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nocera's Return on Sales [ROS] came in at -53.57%, up 7.11 percentage points year-over-year; for FY2025, it came in at -22.25%, up 16.93 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +36.02 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -39.18% in FY2024 (-20.77 pp), -18.41% in FY2023 (+18.33 pp), -36.73% in FY2022 (+209.74 pp) and -246.48% in FY2021 (-188.20 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -1587.71% in Q3 2021 and a high of -3.69% in Q3 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last eight quarters, with an average year-over-year change of -25.31 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2021 (a gain of 19674.89 percentage points); the low point was Q4 2025 (a drop of 85.26 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -25.34% (Q1 2026), -124.44% (Q4 2025) and -51.18% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.47 Bn | 34.77 Bn | 1.94 Bn | 3.95% |
| 2 | Tyson Foods | 20.07 Bn | 16.43 Bn | 921.00 Mn | 2.61% |
| 3 | Bunge Global | 19.81 Bn | 17.31 Bn | 1.68 Bn | 4.47% |
| 4 | Jbs | 13.72 Bn | -19.55 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 8.78 Bn | 8.39 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.41 Bn | 2.36 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.13 Bn | 2.31 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.70 Bn | -1.12 Bn | 221.00 Mn | 3.42% |
| 10 | Nocera | 2.22 Mn | -17.93 Mn | 17,998.00 | -54.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -54.90% |
| Mar 31, 2026 | -25.34% |
| Dec 31, 2025 | -124.44% |
| Sep 30, 2025 | -51.18% |
| Jun 30, 2025 | -4.91% |
| Mar 31, 2025 | -7.84% |
| Dec 31, 2024 | -39.18% |
| Sep 30, 2024 | -22.09% |
| Jun 30, 2024 | -4.57% |
| Mar 31, 2024 | -7.50% |
| Dec 31, 2023 | -37.65% |
| Sep 30, 2023 | -3.69% |
| Jun 30, 2023 | -6.22% |
| Mar 31, 2023 | -25.81% |
| Dec 31, 2022 | -32.03% |
| Sep 30, 2022 | -119.07% |
| Jun 30, 2022 | -37.85% |
| Mar 31, 2022 | -27.60% |
| Dec 31, 2021 | -923.09% |
| Sep 30, 2021 | -1,587.71% |
API Access
Nocera Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=NCRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=NCRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();