Worksport (WKSP) Other Operating Expenses (2014 - 2026)
Worksport (WKSP) posted Other Operating Expenses of $205,338 for Q2 2026, down 67.8% from $637,493 a year earlier and down 7.0% from the prior quarter.
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Analysis
Worksport (WKSP) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Worksport was $1.09 million, down 54.4% year-over-year; for FY2025, it was $295,385, down 90.3% from FY2024.
- Annual Other Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -15.4% (FY2020 to FY2025).
- In prior years, Worksport's Other Operating Expenses was $3.03 million in FY2024 (-21.3%), $3.85 million in FY2023 (-28.9%), $5.42 million in FY2022 (+26.9%) and $4.27 million in FY2021 (+528.1%).
- Quarterly Other Operating Expenses has run from a low of -$88,608 in Q4 2025 to a high of $2.1 million in Q4 2021 over five years.
- On a year-over-year basis, Other Operating Expenses increased in two of the last seven quarters, with an average decline of 25.5%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2022, with growth of 341.9%; the weakest was Q2 2026, with a decline of 67.8%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $220,896 (Q1 2026), -$88,608 (Q4 2025) and $748,656 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Worksport | 5.45 Mn | -5.98 Mn | 1.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205,338.00 |
| Mar 31, 2026 | 220,896.00 |
| Dec 31, 2025 | -88,608.00 |
| Sep 30, 2025 | 748,656.00 |
| Jun 30, 2025 | 637,493.00 |
| Mar 31, 2025 | 426,041.00 |
| Dec 31, 2024 | 698,862.00 |
| Sep 30, 2024 | 621,728.00 |
| Jun 30, 2024 | 766,563.00 |
| Mar 31, 2024 | 943,778.00 |
| Dec 31, 2023 | 953,944.00 |
| Sep 30, 2023 | 539,126.00 |
| Jun 30, 2023 | 1.49 Mn |
| Mar 31, 2023 | 868,611.00 |
| Dec 31, 2022 | 1.26 Mn |
| Sep 30, 2022 | 858,605.00 |
| Jun 30, 2022 | 1.81 Mn |
| Mar 31, 2022 | 1.49 Mn |
| Dec 31, 2021 | 2.10 Mn |
| Sep 30, 2021 | 1.11 Mn |
API Access
Worksport Other Operating 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=other-operating-expenses&ticker=WKSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();