Workhorse (WKHS) Operating Expenses (2010 - 2026)
Workhorse's Operating Expenses came in at $11.95 million for Q2 2026, up 55.9% from $7.67 million a year earlier.
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Analysis
Workhorse (WKHS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Workhorse reported Operating Expenses of $42.1 million, up 116.1% year-over-year; for FY2025, it was $37.89 million, up 7.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $35.18 million in FY2024 (-56.0%), $80.04 million in FY2023 (-17.0%), $96.43 million in FY2022 (+86.3%) and $51.77 million in FY2021 (+76.7%).
- The five-year range for quarterly Operating Expenses is -$6.53 million (Q4 2024) to $40.88 million (Q3 2022).
- Year-over-year, Operating Expenses increased in 1 of the last five quarters, with an average decline of 19.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 205.5%), and the weakest in Q3 2023 (a decline of 57.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Workhorse | 28.42 Mn | 28.42 Mn | -7.47 Mn | 11.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.95 Mn |
| Dec 31, 2025 | 13.63 Mn |
| Sep 30, 2025 | 8.85 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Mar 31, 2025 | 8.31 Mn |
| Dec 31, 2024 | -6.53 Mn |
| Sep 30, 2024 | 10.04 Mn |
| Jun 30, 2024 | 14.06 Mn |
| Mar 31, 2024 | 17.62 Mn |
| Dec 31, 2023 | 21.54 Mn |
| Sep 30, 2023 | 17.53 Mn |
| Jun 30, 2023 | 19.06 Mn |
| Mar 31, 2023 | 21.91 Mn |
| Dec 31, 2022 | 21.57 Mn |
| Sep 30, 2022 | 40.88 Mn |
| Jun 30, 2022 | 18.06 Mn |
| Mar 31, 2022 | 15.92 Mn |
| Dec 31, 2021 | 18.51 Mn |
| Sep 30, 2021 | 13.38 Mn |
| Jun 30, 2021 | 9.13 Mn |
API Access
Workhorse 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=operating-expenses&ticker=WKHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WKHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();