Worksport (WKSP) Cost of Revenue (2014 - 2026)
Worksport (WKSP) posted Cost of Revenue of $3.58 million for Q2 2026, up 18.4% from $3.02 million a year earlier and up 45.6% from the prior quarter.
Worksport (WKSP) Cost of Revenue (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Worksport was $12.8 million, up 23.7% year-over-year; for FY2025, it came in at $11.63 million, up 53.4% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 108.0% (FY2020 to FY2025).
- In prior years, Worksport's Cost of Revenue was $7.58 million in FY2024 (+487.9%), $1.29 million in FY2023, $56,967 in FY2022 (-83.8%) and $350,702 in FY2021 (+17.3%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q1 2014.
- On a year-over-year basis, Cost of Revenue has increased in each of the last nine quarters, with growth averaging 175.1% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2024, with growth of 960.0%; the weakest was Q2 2022, with a decline of 94.2%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $2.46 million (Q1 2026), $3.32 million (Q4 2025) and $3.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 22.55 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 40.74 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 1.04 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 42.15 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 29.57 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 64.56 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 1.98 Bn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 8.43 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 39.33 Bn |
| 10 | Worksport | 3.23 Mn | -8.21 Mn | 1.65 Mn | 3.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.58 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Dec 31, 2025 | 3.32 Mn |
| Sep 30, 2025 | 3.45 Mn |
| Jun 30, 2025 | 3.02 Mn |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 2.60 Mn |
| Sep 30, 2024 | 2.88 Mn |
| Jun 30, 2024 | 1.62 Mn |
| Mar 31, 2024 | 475,181.00 |
| Dec 31, 2023 | 747,277.00 |
| Sep 30, 2023 | 368,796.00 |
| Jun 30, 2023 | 153,288.00 |
| Mar 31, 2023 | 19,757.00 |
| Dec 31, 2022 | -1,599.00 |
| Sep 30, 2022 | 12,602.00 |
| Jun 30, 2022 | 7,987.00 |
| Mar 31, 2022 | 37,977.00 |
| Dec 31, 2021 | 71,338.00 |
| Sep 30, 2021 | 81,810.00 |
Worksport Cost of Revenue 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=cost-of-revenue&ticker=WKSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();