Chipotle Mexican Grill (CMG) Other Operating Expenses (2010 - 2026)
Chipotle Mexican Grill's Other Operating Expenses was $499.76 million in Q2 2026, up 16.6% from $428.66 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Chipotle Mexican Grill (CMG) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chipotle Mexican Grill's Other Operating Expenses was $1.89 billion through Jun 30, 2026, up 15.3% year-over-year; for FY2025, it came in at $1.76 billion, up 11.9% from FY2024.
- Other Operating Expenses has now increased for 16 consecutive years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $1.57 billion in FY2024 (+9.8%), $1.43 billion in FY2023 (+8.9%), $1.31 billion in FY2022 (+9.6%) and $1.2 billion in FY2021 (+16.2%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q1 2010.
- Compared with a year earlier, Other Operating Expenses has increased for 33 straight quarters, with growth averaging 12.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 6.2% in Q1 2024 to 16.6% in Q2 2026.
- Per Business Quant data, CMG's Other Operating Expenses in the three quarters before Q2 2026 was $480.64 million (Q1 2026), $461.57 million (Q4 2025) and $450.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 502.32 Mn |
| Mar 31, 2026 | 482.47 Mn |
| Dec 31, 2025 | 470.05 Mn |
| Sep 30, 2025 | 456.77 Mn |
| Jun 30, 2025 | 433.81 Mn |
| Mar 31, 2025 | 417.20 Mn |
| Dec 31, 2024 | 423.86 Mn |
| Sep 30, 2024 | 384.07 Mn |
| Jun 30, 2024 | 387.99 Mn |
| Mar 31, 2024 | 387.51 Mn |
| Dec 31, 2023 | 377.53 Mn |
| Sep 30, 2023 | 347.73 Mn |
| Jun 30, 2023 | 341.01 Mn |
| Mar 31, 2023 | 361.04 Mn |
| Dec 31, 2022 | 347.20 Mn |
| Sep 30, 2022 | 323.34 Mn |
| Jun 30, 2022 | 318.05 Mn |
| Mar 31, 2022 | 331.73 Mn |
| Dec 31, 2021 | 322.74 Mn |
| Sep 30, 2021 | 295.89 Mn |
API Access
Chipotle Mexican Grill Other Operating Expenses 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=other-operating-expenses&ticker=CMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();