Worksport (WKSP) Accumulated Expenses (2020 - 2026)
Worksport (WKSP) posted Accumulated Expenses of $808,893 for Q2 2026.
Analysis
Worksport (WKSP) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Worksport's Accumulated Expenses came in at $1.4 million, up 75.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 197.4% (FY2020 to FY2025).
- In prior years, Worksport's Accumulated Expenses was $800,283 in FY2024 (+319.2%), $190,896 in FY2023 and $1,319 in FY2021 (-78.1%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn |
| 10 | Worksport | 3.23 Mn | -8.21 Mn | 1.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 808,893.00 |
| Dec 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 800,283.00 |
| Dec 31, 2023 | 190,896.00 |
| Dec 31, 2021 | 1,319.00 |
| Sep 30, 2021 | 1,319.00 |
| Jun 30, 2021 | 1,319.00 |
| Mar 31, 2021 | 1,319.00 |
| Dec 31, 2020 | 6,018.00 |
| Sep 30, 2020 | 2,226.00 |
API Access
Worksport Accumulated Expenses 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=accumulated-expenses&ticker=WKSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();