Chipotle Mexican Grill (CMG) Cash & Equivalents (2009 - 2026)
Chipotle Mexican Grill (CMG) recorded Cash & Equivalents of $228.2 million in Q2 2026, down 73.0% from $844.52 million a year earlier and down 7.5% from the prior quarter.
Chipotle Mexican Grill (CMG) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Chipotle Mexican Grill reported Cash & Equivalents of $350.55 million, down 53.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -10.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $748.54 million in FY2024 (+33.5%), $560.61 million in FY2023 (+46.0%), $384 million in FY2022 (-52.9%) and $815.37 million in FY2021 (+34.1%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q2 2018.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 17.3% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 77.5% in Q1 2024, against a decline of 73.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $246.64 million (Q1 2026), $350.55 million (Q4 2025) and $698.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.75 Bn | 166.57 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 109.77 Bn | 97.39 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.45 Bn | 38.34 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 39.14 Bn | 35.12 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.78 Bn | 21.34 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.33 Bn | 23.43 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.56 Bn | 9.22 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 202.43 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 327.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 228.20 Mn |
| Mar 31, 2026 | 246.64 Mn |
| Dec 31, 2025 | 350.55 Mn |
| Sep 30, 2025 | 698.74 Mn |
| Jun 30, 2025 | 844.52 Mn |
| Mar 31, 2025 | 725.60 Mn |
| Dec 31, 2024 | 748.54 Mn |
| Sep 30, 2024 | 698.55 Mn |
| Jun 30, 2024 | 806.53 Mn |
| Mar 31, 2024 | 727.39 Mn |
| Dec 31, 2023 | 560.61 Mn |
| Sep 30, 2023 | 602.31 Mn |
| Jun 30, 2023 | 504.87 Mn |
| Mar 31, 2023 | 409.73 Mn |
| Dec 31, 2022 | 384.00 Mn |
| Sep 30, 2022 | 366.62 Mn |
| Jun 30, 2022 | 520.93 Mn |
| Mar 31, 2022 | 615.86 Mn |
| Dec 31, 2021 | 815.37 Mn |
| Sep 30, 2021 | 721.11 Mn |
Chipotle Mexican Grill Cash & Equivalents 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=cash-and-equivalents&ticker=CMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();