Workhorse (WKHS) EPS (Diluted) (2018 - 2026)
Workhorse (WKHS) reported EPS (Diluted) of -$1.86 for Q2 2026, compared with -$17.47 a year earlier.
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Analysis
Workhorse (WKHS) EPS (Diluted) (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Workhorse's EPS (Diluted) came in at -$5.68; for FY2025, it was -$6.77.
- By year, EPS (Diluted) came in at -$314.37 in FY2024, -$1,793 in FY2023, -$2,219 in FY2022 and -$9,358 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 0.31 |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 0.75 |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | 3.01 |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 1.41 |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | -0.33 |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | -0.63 |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | 1.70 |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 0.11 |
| 10 | Workhorse | 28.13 Mn | 28.13 Mn | -7.47 Mn | -1.86 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.86 |
| Dec 31, 2025 | -2.20 |
| Sep 30, 2025 | -6.05 |
| Jun 30, 2025 | -17.47 |
| Mar 31, 2025 | -34.45 |
| Dec 31, 2024 | 176.86 |
| Sep 30, 2024 | -147.34 |
| Jun 30, 2024 | -209.40 |
| Mar 31, 2024 | -289.06 |
| Dec 31, 2023 | -654.99 |
| Sep 30, 2023 | -425.89 |
| Jun 30, 2023 | -371.95 |
| Mar 31, 2023 | -448.71 |
| Dec 31, 2022 | -731.29 |
| Sep 30, 2022 | -662.99 |
| Jun 30, 2022 | -398.99 |
| Mar 31, 2022 | -435.48 |
| Dec 31, 2021 | -3,639.63 |
| Sep 30, 2021 | -1,882.81 |
| Jun 30, 2021 | -1,060.36 |
API Access
Workhorse EPS (Diluted) 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=eps-diluted&ticker=WKHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "WKHS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=WKHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();