Chipotle Mexican Grill (CMG) EBITDA (2009 - 2026)
Chipotle Mexican Grill (CMG) reported EBITDA of $623.92 million for Q2 2026, down 4.0% from $650 million a year earlier but up 26.4% from the prior quarter.
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Analysis
Chipotle Mexican Grill (CMG) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Chipotle Mexican Grill's EBITDA came in at $2.2 billion, down 3.3% year-over-year; for FY2025, it was $2.3 billion, up 2.0% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 34.2% (FY2020 to FY2025).
- By year, EBITDA came in at $2.25 billion in FY2024 (+19.9%), $1.88 billion in FY2023 (+29.7%), $1.45 billion in FY2022 (+36.6%) and $1.06 billion in FY2021 (+100.4%).
- Five-year quarterly EBITDA spans a low of $224.56 million in Q4 2021 and a high of $669.62 million in Q2 2024.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 2.7%.
- The high point for year-over-year EBITDA in five years was Q3 2021 (growth of 81.1%); the low point was Q1 2026 (a decline of 12.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $493.78 million (Q1 2026), $513.02 million (Q4 2025) and $567.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 623.92 Mn |
| Mar 31, 2026 | 493.78 Mn |
| Dec 31, 2025 | 513.02 Mn |
| Sep 30, 2025 | 567.70 Mn |
| Jun 30, 2025 | 650.00 Mn |
| Mar 31, 2025 | 566.46 Mn |
| Dec 31, 2024 | 499.61 Mn |
| Sep 30, 2024 | 557.61 Mn |
| Jun 30, 2024 | 669.62 Mn |
| Mar 31, 2024 | 524.54 Mn |
| Dec 31, 2023 | 448.94 Mn |
| Sep 30, 2023 | 473.50 Mn |
| Jun 30, 2023 | 510.58 Mn |
| Mar 31, 2023 | 444.19 Mn |
| Dec 31, 2022 | 370.34 Mn |
| Sep 30, 2022 | 407.67 Mn |
| Jun 30, 2022 | 407.33 Mn |
| Mar 31, 2022 | 261.89 Mn |
| Dec 31, 2021 | 224.56 Mn |
| Sep 30, 2021 | 302.87 Mn |
API Access
Chipotle Mexican Grill EBITDA 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=ebitda&ticker=CMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();