Focus Universal (FCUV) Return on Sales [ROS] (2013 - 2026)
Focus Universal (FCUV) posted Return on Sales [ROS] of -229.51% for Q2 2026, up 4137.20 percentage points from -4366.71% a year earlier.
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Analysis
Focus Universal (FCUV) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Focus Universal was -698.88%, up 818.31 percentage points year-over-year; for FY2025, it was -1918.75%, down 361.44 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -1757.71 percentage points (FY2020 to FY2025).
- In prior years, Focus Universal's Return on Sales [ROS] was -1557.32% in FY2024 (-433.30 pp), -1124.02% in FY2023 (+348.09 pp), -1472.11% in FY2022 (-1261.81 pp) and -210.30% in FY2021 (-49.25 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2021.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last seven quarters, with an average year-over-year change of -15868.42 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2025, with a gain of 6598.58 percentage points; the weakest was Q4 2025, with a drop of 118465.83 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.19 Bn | 245.49 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 198.54 Bn | 193.24 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 186.04 Bn | 154.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 139.66 Bn | 136.59 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 120.67 Bn | 118.56 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.83 Bn | 79.27 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 94.87 Bn | 87.61 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 81.52 Bn | 78.19 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 76.99 Bn | 65.83 Bn | 1.64 Bn | 22.81% |
| 10 | Focus Universal | 1.60 Mn | 2,108.62 | - | -229.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -229.51% |
| Dec 31, 2025 | -119,973.56% |
| Sep 30, 2025 | -4,114.39% |
| Jun 30, 2025 | -4,366.71% |
| Mar 31, 2025 | -668.33% |
| Dec 31, 2024 | -1,507.73% |
| Sep 30, 2024 | -2,353.77% |
| Jun 30, 2024 | -10,965.29% |
| Mar 31, 2024 | -676.25% |
| Dec 31, 2023 | -746.56% |
| Sep 30, 2023 | -1,518.74% |
| Jun 30, 2023 | -497.46% |
| Mar 31, 2023 | -525.62% |
| Dec 31, 2022 | -1,549.37% |
| Sep 30, 2022 | -1,605.77% |
| Jun 30, 2022 | -1,864.65% |
| Mar 31, 2022 | -1,224.09% |
| Dec 31, 2021 | -502.11% |
| Sep 30, 2021 | -119.34% |
| Jun 30, 2021 | -253.57% |
API Access
Focus Universal 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=FCUV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FCUV", "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=FCUV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();