Chipotle Mexican Grill (CMG) Receivables - Net (2009 - 2026)
Chipotle Mexican Grill (CMG) posted Receivables - Net of $100.31 million for Q2 2026, down 4.5% from $105 million a year earlier but up 5.7% from the prior quarter.
Chipotle Mexican Grill (CMG) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Chipotle Mexican Grill's Receivables - Net came in at $156.47 million, up 8.7% from FY2024.
- Annual Receivables - Net has increased for four consecutive years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Chipotle Mexican Grill's Receivables - Net was $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 - Net has run from a low of $60.99 million in Q2 2023 to a high of $156.47 million in Q4 2025 over five years.
- On a year-over-year basis, Receivables - Net increased in six of the last eight quarters, with growth averaging 9.6%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q2 2024, with growth of 59.9%; the weakest was Q2 2023, with a decline of 27.1%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $94.93 million (Q1 2026), $156.47 million (Q4 2025) and $95.84 million (Q3 2025).
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
| 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 |
Chipotle Mexican Grill Receivables - Net 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-net&ticker=CMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=CMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();