Chipotle Mexican Grill (CMG) Receivables (2009 - 2026)
Chipotle Mexican Grill (CMG) recorded Receivables of $100.31 million in Q2 2026, down 4.5% from $105 million a year earlier but up 5.7% from the prior quarter.
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Analysis
Chipotle Mexican Grill (CMG) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Chipotle Mexican Grill reported Receivables of $156.47 million, up 8.7% from FY2024.
- Annual Receivables has increased for four straight years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $143.96 million in FY2024 (+24.6%), $115.54 million in FY2023 (+8.1%), $106.88 million in FY2022 (+7.3%) and $99.6 million in FY2021 (-4.7%).
- Quarterly Receivables has ranged from $60.99 million in Q2 2023 to $156.47 million in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables rose in six of the last eight quarters, with growth averaging 9.6%.
- Peak year-over-year performance for Receivables in the last five years was growth of 59.9% in Q2 2024, against a decline of 27.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $94.93 million (Q1 2026), $156.47 million (Q4 2025) and $95.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 74.14 Mn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.31 Mn |
| Mar 31, 2026 | 94.93 Mn |
| Dec 31, 2025 | 156.47 Mn |
| Sep 30, 2025 | 95.84 Mn |
| Jun 30, 2025 | 105.00 Mn |
| Mar 31, 2025 | 101.59 Mn |
| Dec 31, 2024 | 143.96 Mn |
| Sep 30, 2024 | 93.20 Mn |
| Jun 30, 2024 | 97.54 Mn |
| Mar 31, 2024 | 89.84 Mn |
| Dec 31, 2023 | 115.54 Mn |
| Sep 30, 2023 | 71.12 Mn |
| Jun 30, 2023 | 60.99 Mn |
| Mar 31, 2023 | 65.87 Mn |
| Dec 31, 2022 | 106.88 Mn |
| Sep 30, 2022 | 71.28 Mn |
| Jun 30, 2022 | 83.64 Mn |
| Mar 31, 2022 | 89.30 Mn |
| Dec 31, 2021 | 99.60 Mn |
| Sep 30, 2021 | 76.10 Mn |
API Access
Chipotle Mexican Grill Receivables 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=receivables&ticker=CMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();