Chipotle Mexican Grill (CMG) Accumulated Expenses (2009 - 2026)
Chipotle Mexican Grill's Accumulated Expenses came in at $233.05 million for Q3 2026, up 18.3% from $196.96 million a year earlier and up 6.4% from the prior quarter.
Powered by 
Analysis
Chipotle Mexican Grill (CMG) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Chipotle Mexican Grill's Accumulated Expenses was $182.45 million, up 1.5% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $179.75 million in FY2024 (+21.7%), $147.69 million in FY2023 (+0.1%), $147.54 million in FY2022 (-14.7%) and $173.05 million in FY2021 (+5.1%).
- The Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- Year-over-year, Accumulated Expenses has increased for 12 consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2026 (growth of 24.8%), and the weakest in Q4 2022 (a decline of 14.7%).
- Business Quant data shows CMG's Accumulated Expenses at $219.02 million (Q2 2026), $231.31 million (Q1 2026) and $182.45 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 233.05 Mn |
| Jun 30, 2026 | 219.02 Mn |
| Mar 31, 2026 | 231.31 Mn |
| Dec 31, 2025 | 182.45 Mn |
| Sep 30, 2025 | 196.96 Mn |
| Jun 30, 2025 | 185.09 Mn |
| Mar 31, 2025 | 185.31 Mn |
| Dec 31, 2024 | 179.75 Mn |
| Sep 30, 2024 | 181.35 Mn |
| Jun 30, 2024 | 169.63 Mn |
| Mar 31, 2024 | 171.61 Mn |
| Dec 31, 2023 | 147.69 Mn |
| Sep 30, 2023 | 151.15 Mn |
| Jun 30, 2023 | 141.29 Mn |
| Mar 31, 2023 | 160.44 Mn |
| Dec 31, 2022 | 147.54 Mn |
| Sep 30, 2022 | 156.46 Mn |
| Jun 30, 2022 | 148.61 Mn |
| Mar 31, 2022 | 136.66 Mn |
| Dec 31, 2021 | 173.05 Mn |
API Access
Chipotle Mexican Grill Accumulated 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=accumulated-expenses&ticker=CMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();