Chipotle Mexican Grill (CMG) EV to CFO (2009 - 2026)
Chipotle Mexican Grill's (CMG) quarterly EV to CFO came in at 62.21 in Q2 2026, down 52.64% year-over-year from 131.37 in Q2 2025, and up 0.83% quarter-over-quarter from 61.7 in Q1 2026.
Chipotle Mexican Grill (CMG) EV to CFO (2009 - 2026) Analysis & Trends
Chipotle Mexican Grill (CMG) has reported EV to CFO for 18 consecutive years, with 62.21 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to CFO fell 52.64% year-over-year to 62.21 in Q2 2026; TTM through Jun 2026 was 18.19, a 48.4% decrease from a year earlier, with the FY2025 full-year figure at 22.3, down 41.54% from the prior year.
- EV to CFO was 62.21 for Q2 2026 at Chipotle Mexican Grill, up from 61.7 in the prior quarter.
- Over five years, EV to CFO peaked at 231.36 in Q4 2023 and troughed at 61.7 in Q1 2026.
- A 5-year average of 122.58 and a median of 117.53 in 2022 frame the typical range for EV to CFO.
- Across the five-year window, EV to CFO surged 148.24% in 2023 and plunged 52.64% in 2026, its largest moves.
- Over 5 years, EV to CFO stood at 93.2 in 2022, then surged by 148.24% to 231.36 in 2023, then sank by 34.11% to 152.45 in 2024, then dropped by 27.38% to 110.7 in 2025, then tumbled by 43.8% to 62.21 in 2026.
- The last three EV to CFO figures came in at 62.21 (Q2 2026), 61.7 (Q1 2026), and 110.7 (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 | 62.21 |
| Mar 31, 2026 | 61.70 |
| Dec 31, 2025 | 110.70 |
| Sep 30, 2025 | 88.47 |
| Jun 30, 2025 | 131.37 |
| Mar 31, 2025 | 118.90 |
| Dec 31, 2024 | 152.45 |
| Sep 30, 2024 | 172.78 |
| Jun 30, 2024 | 149.86 |
| Mar 31, 2024 | 137.78 |
| Dec 31, 2023 | 231.36 |
| Sep 30, 2023 | 101.62 |
| Jun 30, 2023 | 98.97 |
| Mar 31, 2023 | 101.25 |
| Dec 31, 2022 | 93.20 |
| Sep 30, 2022 | 116.17 |
| Jun 30, 2022 | 123.93 |
| Mar 31, 2022 | 153.79 |
| Dec 31, 2021 | 109.34 |
| Sep 30, 2021 | 178.46 |
Chipotle Mexican Grill EV to CFO 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=ev-to-cfo&ticker=CMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();