Tesla (TSLA) Price to Earnings (2010 - 2026)
Tesla's (TSLA) quarterly Price to Earnings came in at 1206.99 in Q2 2026, up 40.25% year-over-year from 860.62 in Q2 2025, and down 57.55% quarter-over-quarter from 2843.02 in Q1 2026.
Tesla (TSLA) Price to Earnings (2010 - 2026) Analysis & Trends
Tesla has disclosed Price to Earnings across 17 years of filings, most recently posting 1206.99 for Q2 2026.
- In Q2 2026, Price to Earnings rose 40.25% year-over-year to 1206.99; the TTM figure through Jun 2026 stood at 352.35 (up 104.33% YoY), while the FY2025 annual figure was 437.59, up 140.9% from the prior year.
- Price to Earnings came in at 1206.99 for Q2 2026 at Tesla, down from 2843.02 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 2843.02 in Q1 2026 to a low of 99.64 in Q4 2023.
- Average Price to Earnings over 5 years is 770.77, with a median of 411.28 recorded in 2023.
- Year-over-year, Price to Earnings plunged 77.6% in 2022 and soared 509.11% in 2024.
- Over 5 years, Price to Earnings stood at 105.14 in 2022, then decreased by 5.23% to 99.64 in 2023, then soared by 509.11% to 606.89 in 2024, then soared by 224.72% to 1970.68 in 2025, then tumbled by 38.75% to 1206.99 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 1206.99 in Q2 2026, 2843.02 in Q1 2026, and 1970.68 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,206.99 |
| Mar 31, 2026 | 2,843.02 |
| Dec 31, 2025 | 1,970.68 |
| Sep 30, 2025 | 1,064.25 |
| Jun 30, 2025 | 860.62 |
| Mar 31, 2025 | 1,986.89 |
| Dec 31, 2024 | 606.89 |
| Sep 30, 2024 | 383.30 |
| Jun 30, 2024 | 446.35 |
| Mar 31, 2024 | 399.00 |
| Dec 31, 2023 | 99.64 |
| Sep 30, 2023 | 423.56 |
| Jun 30, 2023 | 317.85 |
| Mar 31, 2023 | 258.94 |
| Dec 31, 2022 | 105.14 |
| Sep 30, 2022 | 251.47 |
| Jun 30, 2022 | 308.96 |
| Mar 31, 2022 | 340.36 |
| Dec 31, 2021 | 469.33 |
| Sep 30, 2021 | 481.19 |
Tesla Price to Earnings 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-earnings&ticker=TSLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "TSLA", "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-earnings&ticker=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();