Workhorse (WKHS) Price to Book (2011 - 2026)
Workhorse's Price to Book was 4.15 in Q2 2026.
Analysis
Workhorse (WKHS) Price to Book (2011 - 2026) Analysis & Trends
For FY2025, Price to Book at Workhorse came in at 1.15.
- In earlier years, Price to Book was 2.32 in FY2022 (-38.9%) and 3.79 in FY2021 (-18.4%).
- The Q2 2026 figure marks the highest quarterly Price to Book since Q1 2022.
- The best year-over-year quarter for Price to Book over five years was Q3 2025 (growth of 13.3%); the worst was Q3 2023 (a decline of 73.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn |
| 10 | Workhorse | 28.52 Mn | 28.52 Mn | -7.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.15 |
| Dec 31, 2025 | 1.15 |
| Sep 30, 2025 | 0.53 |
| Sep 30, 2024 | 0.47 |
| Jun 30, 2024 | 0.56 |
| Mar 31, 2024 | 1.15 |
| Sep 30, 2023 | 0.94 |
| Jun 30, 2023 | 1.67 |
| Mar 31, 2023 | 2.29 |
| Dec 31, 2022 | 2.32 |
| Sep 30, 2022 | 3.51 |
| Jun 30, 2022 | 2.54 |
| Mar 31, 2022 | 4.87 |
| Dec 31, 2021 | 3.79 |
| Sep 30, 2021 | 6.71 |
| Jun 30, 2021 | 9.19 |
| Mar 31, 2021 | 6.16 |
| Dec 31, 2020 | 4.65 |
| Sep 30, 2018 | 24.83 |
| Dec 31, 2017 | 30.28 |
API Access
Workhorse Price to Book 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=price-to-book&ticker=WKHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=WKHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();