Chipotle Mexican Grill (CMG) Price to Earnings (2009 - 2026)
Chipotle Mexican Grill's (CMG) quarterly Price to Earnings came in at 106.62 in Q2 2026, down 38.24% year-over-year from 172.63 in Q2 2025, and down 21.37% quarter-over-quarter from 135.59 in Q1 2026.
Chipotle Mexican Grill (CMG) Price to Earnings (2009 - 2026) Analysis & Trends
Chipotle Mexican Grill (CMG) has reported Price to Earnings for 18 consecutive years, with 106.62 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 38.24% year-over-year to 106.62 in Q2 2026; TTM through Jun 2026 was 30.31, a 37.93% decrease from a year earlier, with the FY2025 full-year figure at 31.38, down 41.1% from the prior year.
- Price to Earnings was 106.62 for Q2 2026 at Chipotle Mexican Grill, down from 135.59 in the prior quarter.
- Over five years, Price to Earnings peaked at 280.26 in Q1 2022 and troughed at 106.62 in Q2 2026.
- A 5-year average of 177.83 and a median of 171.97 in 2025 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings slumped 57.67% in 2022 and surged 37.5% in 2024, its largest moves.
- Over 5 years, Price to Earnings stood at 171.3 in 2022, then gained by 29.78% to 222.32 in 2023, then increased by 10.81% to 246.34 in 2024, then tumbled by 40.89% to 145.62 in 2025, then fell by 26.78% to 106.62 in 2026.
- The last three Price to Earnings figures came in at 106.62 (Q2 2026), 135.59 (Q1 2026), and 145.62 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.62 |
| Mar 31, 2026 | 135.59 |
| Dec 31, 2025 | 145.62 |
| Sep 30, 2025 | 135.62 |
| Jun 30, 2025 | 172.63 |
| Mar 31, 2025 | 174.99 |
| Dec 31, 2024 | 246.34 |
| Sep 30, 2024 | 202.67 |
| Jun 30, 2024 | 188.29 |
| Mar 31, 2024 | 222.24 |
| Dec 31, 2023 | 222.32 |
| Sep 30, 2023 | 160.52 |
| Jun 30, 2023 | 172.65 |
| Mar 31, 2023 | 161.63 |
| Dec 31, 2022 | 171.30 |
| Sep 30, 2022 | 162.03 |
| Jun 30, 2022 | 139.66 |
| Mar 31, 2022 | 280.26 |
| Dec 31, 2021 | 404.68 |
| Sep 30, 2021 | 250.13 |
Chipotle Mexican Grill 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=CMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CMG", "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=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();