Mcdonalds (MCD) Cash & Equivalents (2009 - 2026)
Mcdonalds (MCD) recorded Cash & Equivalents of $822 million in Q2 2026, down 56.2% from $1.88 billion a year earlier and down 29.7% from the prior quarter.
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Analysis
Mcdonalds (MCD) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Mcdonalds reported Cash & Equivalents of $774 million, down 28.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -25.8% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $1.09 billion in FY2024 (-76.3%), $4.58 billion in FY2023 (+77.2%), $2.58 billion in FY2022 (-45.1%) and $4.71 billion in FY2021 (+36.5%).
- Quarterly Cash & Equivalents has ranged from $774 million in Q4 2025 to $4.71 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 136.9% in Q2 2025, against a decline of 77.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.17 billion (Q1 2026), $774 million (Q4 2025) and $2.41 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 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 | 15.57 Bn | 9.23 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 822.00 Mn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 774.00 Mn |
| Sep 30, 2025 | 2.41 Bn |
| Jun 30, 2025 | 1.88 Bn |
| Mar 31, 2025 | 1.24 Bn |
| Dec 31, 2024 | 1.09 Bn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 792.00 Mn |
| Mar 31, 2024 | 838.00 Mn |
| Dec 31, 2023 | 4.58 Bn |
| Sep 30, 2023 | 3.50 Bn |
| Jun 30, 2023 | 1.63 Bn |
| Mar 31, 2023 | 3.71 Bn |
| Dec 31, 2022 | 2.58 Bn |
| Sep 30, 2022 | 2.83 Bn |
| Jun 30, 2022 | 1.87 Bn |
| Mar 31, 2022 | 2.34 Bn |
| Dec 31, 2021 | 4.71 Bn |
| Sep 30, 2021 | 4.31 Bn |
API Access
Mcdonalds 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=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();