Mcdonalds (MCD) Receivables (2009 - 2026)
Mcdonalds' Receivables came in at $2.49 billion for Q2 2026, down 2.5% from $2.55 billion a year earlier but up 2.2% from the prior quarter.
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Analysis
Mcdonalds (MCD) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Mcdonalds' Receivables was $2.47 billion, up 3.5% from FY2024.
- Receivables carries a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Receivables was $2.38 billion in FY2024 (-4.2%), $2.49 billion in FY2023 (+17.6%), $2.12 billion in FY2022 (+13.0%) and $1.87 billion in FY2021 (-11.3%).
- The five-year range for quarterly Receivables is $1.67 billion (Q1 2022) to $2.58 billion (Q3 2025).
- Year-over-year, Receivables increased in six of the last eight quarters, with growth averaging 3.2%.
- The fastest year-over-year change in Receivables over five years came in Q1 2023 (growth of 24.0%), and the weakest in Q3 2021 (a decline of 23.6%).
- Business Quant data shows MCD's Receivables at $2.43 billion (Q1 2026), $2.47 billion (Q4 2025) and $2.58 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 99.54 Mn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 74.14 Mn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 286.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.49 Bn |
| Mar 31, 2026 | 2.43 Bn |
| Dec 31, 2025 | 2.47 Bn |
| Sep 30, 2025 | 2.58 Bn |
| Jun 30, 2025 | 2.55 Bn |
| Mar 31, 2025 | 2.39 Bn |
| Dec 31, 2024 | 2.38 Bn |
| Sep 30, 2024 | 2.46 Bn |
| Jun 30, 2024 | 2.40 Bn |
| Mar 31, 2024 | 2.24 Bn |
| Dec 31, 2023 | 2.49 Bn |
| Sep 30, 2023 | 2.25 Bn |
| Jun 30, 2023 | 2.19 Bn |
| Mar 31, 2023 | 2.08 Bn |
| Dec 31, 2022 | 2.12 Bn |
| Sep 30, 2022 | 1.89 Bn |
| Jun 30, 2022 | 1.84 Bn |
| Mar 31, 2022 | 1.67 Bn |
| Dec 31, 2021 | 1.87 Bn |
| Sep 30, 2021 | 1.83 Bn |
API Access
Mcdonalds 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=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "MCD", "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=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();