Workhorse (WKHS) Return on Sales [ROS] (2015 - 2026)
Workhorse (WKHS) posted Return on Sales [ROS] of -545.20% for Q2 2026, up 658.13 percentage points from -1203.33% a year earlier.
Workhorse (WKHS) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Workhorse was -252.89%, up 50.10 percentage points year-over-year; for FY2025, it came in at -223.66%, up 363.08 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +2719.30 percentage points (FY2020 to FY2025).
- In prior years, Workhorse's Return on Sales [ROS] was -586.74% in FY2024 (+217.39 pp), -804.13% in FY2023 (+1765.67 pp), -2569.80% in FY2022 (+19159.29 pp) and -21729.08% in FY2021 (-18786.13 pp).
- Quarterly Return on Sales [ROS] has run from a low of -167780.59% in Q2 2022 to a high of 726.16% in Q4 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last seven quarters, with an average year-over-year change of +347.11 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 167187.54 percentage points; the weakest was Q2 2022, with a drop of 165891.56 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.41% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 7.86% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 31.22% |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 8.76% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 3.04% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.32% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -50.42% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 12.19% |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 1.61% |
| 10 | Workhorse | 28.81 Mn | 28.81 Mn | -7.47 Mn | -545.20% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -545.20% |
| Dec 31, 2025 | -28.57% |
| Sep 30, 2025 | -694.17% |
| Jun 30, 2025 | -1,203.33% |
| Mar 31, 2025 | -2,002.86% |
| Dec 31, 2024 | 726.16% |
| Sep 30, 2024 | -564.54% |
| Jun 30, 2024 | -2,435.57% |
| Mar 31, 2024 | -1,771.58% |
| Dec 31, 2023 | -798.15% |
| Sep 30, 2023 | -695.27% |
| Jun 30, 2023 | -593.05% |
| Mar 31, 2023 | -1,508.75% |
| Dec 31, 2022 | -1,141.14% |
| Sep 30, 2022 | -3,153.85% |
| Jun 30, 2022 | -167,780.59% |
| Mar 31, 2022 | -138,689.73% |
| Dec 31, 2021 | -9,232.08% |
| Sep 30, 2021 | -4,423.64% |
| Jun 30, 2021 | -1,889.03% |
Workhorse Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=WKHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=WKHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();