Worksport (WKSP) Non Operating Interest Expenses (2015 - 2026)
Worksport (WKSP) reported Non Operating Interest Expenses of $146,837 for Q2 2026, up 14.6% from $128,156 a year earlier and up 58.9% from the prior quarter.
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Analysis
Worksport (WKSP) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Worksport's Non Operating Interest Expenses came in at $508,381, down 35.8% year-over-year; for FY2025, it was $592,755, down 18.4% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $726,095 in FY2024 (+17.8%), $616,214 in FY2023 (+26.1%), $488,704 in FY2022 (+65.7%) and $294,923 in FY2021 (-23.6%).
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses since Q1 2025.
- Year over year, Non Operating Interest Expenses gained in four of the last eight quarters, with growth averaging 11.5%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2022 (growth of 894.6%); the low point was Q1 2022 (a decline of 89.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $92,383 (Q1 2026), $130,274 (Q4 2025) and $138,887 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 90.00 Mn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 162.00 Mn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 39.74 Mn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 385.00 Mn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | -122.57 Mn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | - |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 74.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 231.24 Mn |
| 10 | Worksport | 3.23 Mn | -8.21 Mn | 1.65 Mn | 146,837.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146,837.00 |
| Mar 31, 2026 | 92,383.00 |
| Dec 31, 2025 | 130,274.00 |
| Sep 30, 2025 | 138,887.00 |
| Jun 30, 2025 | 128,156.00 |
| Mar 31, 2025 | 195,438.00 |
| Dec 31, 2024 | 238,632.00 |
| Sep 30, 2024 | 229,701.00 |
| Jun 30, 2024 | 134,164.00 |
| Mar 31, 2024 | 123,598.00 |
| Dec 31, 2023 | 149,384.00 |
| Sep 30, 2023 | 113,838.00 |
| Jun 30, 2023 | 187,893.00 |
| Mar 31, 2023 | 165,099.00 |
| Dec 31, 2022 | 171,253.00 |
| Sep 30, 2022 | 112,341.00 |
| Jun 30, 2022 | 180,015.00 |
| Mar 31, 2022 | 25,095.00 |
| Dec 31, 2021 | 19,809.00 |
| Sep 30, 2021 | 26,114.00 |
API Access
Worksport Non Operating Interest 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=non-operating-interest-expenses&ticker=WKSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();