Mcdonalds (MCD) Accounts Payables (2009 - 2026)
Mcdonalds (MCD) recorded Accounts Payables of $1.11 billion in Q2 2026, up 32.9% from $838 million a year earlier and up 2.1% from the prior quarter.
Mcdonalds (MCD) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Mcdonalds reported Accounts Payables of $1.15 billion, up 11.7% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $1.03 billion in FY2024 (-6.7%), $1.1 billion in FY2023 (+12.5%), $980.2 million in FY2022 (-2.6%) and $1.01 billion in FY2021 (+35.8%).
- Quarterly Accounts Payables has ranged from $718.6 million in Q1 2022 to $1.15 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Accounts Payables has increased for four consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 35.8% in Q4 2021, against a decline of 11.7% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.09 billion (Q1 2026), $1.15 billion (Q4 2025) and $972 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.78 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 255.13 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 1.19 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 884.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 427.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 884.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.26 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 179.04 Mn |
| 10 | Dominos Pizza | 9.98 Bn | 9.32 Bn | 478.23 Mn | 137.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 972.00 Mn |
| Jun 30, 2025 | 838.00 Mn |
| Mar 31, 2025 | 882.00 Mn |
| Dec 31, 2024 | 1.03 Bn |
| Sep 30, 2024 | 944.00 Mn |
| Jun 30, 2024 | 949.00 Mn |
| Mar 31, 2024 | 936.00 Mn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 862.40 Mn |
| Jun 30, 2023 | 806.60 Mn |
| Mar 31, 2023 | 811.80 Mn |
| Dec 31, 2022 | 980.20 Mn |
| Sep 30, 2022 | 794.80 Mn |
| Jun 30, 2022 | 739.40 Mn |
| Mar 31, 2022 | 718.60 Mn |
| Dec 31, 2021 | 1.01 Bn |
| Sep 30, 2021 | 772.60 Mn |
Mcdonalds Accounts Payables 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=accounts-payables&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();