Chipotle Mexican Grill (CMG) Price to Book (2009 - 2026)
Chipotle Mexican Grill's (CMG) quarterly Price to Book came in at 19.56 in Q2 2026, down 8.35% year-over-year from 21.34 in Q2 2025, and up 14.68% quarter-over-quarter from 17.05 in Q1 2026.
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Analysis
Chipotle Mexican Grill (CMG) Price to Book (2009 - 2026) Analysis & Trends
Chipotle Mexican Grill (CMG) has reported Price to Book for 18 consecutive years, with 19.56 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book fell 8.35% year-over-year to 19.56 in Q2 2026; TTM through Jun 2026 was 19.56, a 8.35% decrease from a year earlier, with the FY2025 full-year figure at 17.02, down 23.85% from the prior year.
- Price to Book was 19.56 for Q2 2026 at Chipotle Mexican Grill, up from 17.05 in the prior quarter.
- Over five years, Price to Book peaked at 23.75 in Q1 2024 and troughed at 16.08 in Q3 2025.
- A 5-year average of 19.52 and a median of 19.47 in 2026 frame the typical range for Price to Book.
- Across the five-year window, Price to Book gained 26.56% in 2023 and dropped 25.97% in 2025, its largest moves.
- Over 5 years, Price to Book stood at 16.18 in 2022, then advanced by 26.54% to 20.48 in 2023, then grew by 9.17% to 22.36 in 2024, then fell by 23.85% to 17.02 in 2025, then increased by 14.88% to 19.56 in 2026.
- The last three Price to Book figures came in at 19.56 (Q2 2026), 17.05 (Q1 2026), and 17.02 (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.56 |
| Mar 31, 2026 | 17.05 |
| Dec 31, 2025 | 17.02 |
| Sep 30, 2025 | 16.08 |
| Jun 30, 2025 | 21.34 |
| Mar 31, 2025 | 19.38 |
| Dec 31, 2024 | 22.36 |
| Sep 30, 2024 | 21.73 |
| Jun 30, 2024 | 23.11 |
| Mar 31, 2024 | 23.75 |
| Dec 31, 2023 | 20.48 |
| Sep 30, 2023 | 17.42 |
| Jun 30, 2023 | 21.33 |
| Mar 31, 2023 | 18.99 |
| Dec 31, 2022 | 16.18 |
| Sep 30, 2022 | 17.90 |
| Jun 30, 2022 | 16.85 |
| Mar 31, 2022 | 20.79 |
| Dec 31, 2021 | 21.33 |
| Sep 30, 2021 | 22.13 |
API Access
Chipotle Mexican Grill 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=CMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();