Worksport (WKSP) Return on Sales [ROS] (2014 - 2026)
Worksport (WKSP) recorded Return on Sales [ROS] of -73.02% in Q2 2026, up 15.11 percentage points from -88.13% a year earlier and up 100.38 percentage points from the prior quarter.
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Analysis
Worksport (WKSP) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
On a TTM basis, Worksport's Return on Sales [ROS] came in at -111.95% as of Jun 30, 2026, up 15.44 percentage points year-over-year; for FY2025, it came in at -116.84%, up 65.45 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +168.08 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -182.29% in FY2024 (+781.13 pp), -963.41% in FY2023 (+10000.96 pp), -10964.37% in FY2022 (-8474.92 pp) and -2489.46% in FY2021 (-2204.54 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2019.
- On a year-over-year basis, Return on Sales [ROS] has increased for 13 consecutive quarters, with an average year-over-year change of +214.98 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 27392.33 percentage points in Q2 2023, against a drop of 28832.15 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -173.39% (Q1 2026), -129.24% (Q4 2025) and -95.59% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 2.56% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 7.19% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 29.70% |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 2.94% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 8.39% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -40.88% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 13.52% |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -0.88% |
| 10 | Worksport | 3.23 Mn | -8.21 Mn | 1.65 Mn | -73.02% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -73.02% |
| Mar 31, 2026 | -173.39% |
| Dec 31, 2025 | -129.24% |
| Sep 30, 2025 | -95.59% |
| Jun 30, 2025 | -88.13% |
| Mar 31, 2025 | -190.01% |
| Dec 31, 2024 | -136.97% |
| Sep 30, 2024 | -125.07% |
| Jun 30, 2024 | -203.52% |
| Mar 31, 2024 | -709.95% |
| Dec 31, 2023 | -422.75% |
| Sep 30, 2023 | -854.89% |
| Jun 30, 2023 | -1,870.75% |
| Mar 31, 2023 | -11,057.00% |
| Dec 31, 2022 | -9,535.66% |
| Sep 30, 2022 | -16,037.21% |
| Jun 30, 2022 | -29,263.08% |
| Mar 31, 2022 | -5,855.06% |
| Dec 31, 2021 | -22,593.96% |
| Sep 30, 2021 | -2,183.93% |
API Access
Worksport 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=WKSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WKSP", "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=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();