Worksport (WKSP) EBITDA Margin (2015 - 2026)
Worksport's EBITDA Margin was -65.00% in Q2 2026, up 12.32 percentage points from -77.31% a year earlier and up 95.53 percentage points from the prior quarter.
Worksport (WKSP) EBITDA Margin (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Worksport's EBITDA Margin was -102.16% through Jun 30, 2026, up 8.88 percentage points year-over-year; for FY2025, it came in at -105.45%, up 56.17 percentage points from FY2024.
- EBITDA Margin has now increased for three consecutive years, with a five-year change of +171.68 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -161.62% in FY2024 (+729.24 pp), -890.86% in FY2023 (+9655.85 pp), -10546.71% in FY2022 (-8079.27 pp) and -2467.44% in FY2021 (-2190.31 pp).
- The Q2 2026 figure marks the highest quarterly EBITDA Margin since Q3 2019.
- Compared with a year earlier, EBITDA Margin was higher in seven of the last eight quarters, with an average year-over-year change of +192.60 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2023 (a gain of 26646.30 percentage points); the worst was Q2 2022 (a drop of 27949.98 percentage points).
- Per Business Quant data, WKSP's EBITDA Margin in the three quarters before Q2 2026 was -160.53% (Q1 2026), -119.23% (Q4 2025) and -86.20% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 7.14% |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 12.61% |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 39.00% |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 5.74% |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | 5.18% |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | -36.13% |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 5.28% |
| 10 | Worksport | 5.34 Mn | -6.10 Mn | 1.65 Mn | -65.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -65.00% |
| Mar 31, 2026 | -160.53% |
| Dec 31, 2025 | -119.23% |
| Sep 30, 2025 | -86.20% |
| Jun 30, 2025 | -77.31% |
| Mar 31, 2025 | -170.15% |
| Dec 31, 2024 | -111.92% |
| Sep 30, 2024 | -112.14% |
| Jun 30, 2024 | -191.41% |
| Mar 31, 2024 | -635.21% |
| Dec 31, 2023 | -412.01% |
| Sep 30, 2023 | -733.10% |
| Jun 30, 2023 | -1,737.54% |
| Mar 31, 2023 | -10,446.28% |
| Dec 31, 2022 | -9,654.73% |
| Sep 30, 2022 | -13,961.69% |
| Jun 30, 2022 | -28,383.84% |
| Mar 31, 2022 | -5,744.48% |
| Dec 31, 2021 | -22,880.59% |
| Sep 30, 2021 | -2,064.40% |
Worksport EBITDA Margin 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=ebitda-margin&ticker=WKSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=WKSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();