Mcdonalds (MCD) Total Non-Current Liabilities (2009 - 2026)
Mcdonalds (MCD) reported Total Non-Current Liabilities of $60.27 billion for Q2 2026, down 2.0% from $61.53 billion a year earlier and down 0.6% from the prior quarter.
Mcdonalds (MCD) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Mcdonalds posted Total Non-Current Liabilities of $60.6 billion, up 4.1% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $58.21 billion in FY2024 (-2.8%), $59.9 billion in FY2023 (+8.2%), $55.39 billion in FY2022 (-2.1%) and $56.56 billion in FY2021 (-3.3%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 2.8%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2023 (growth of 8.2%); the low point was Q3 2022 (a decline of 4.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $60.64 billion (Q1 2026), $60.6 billion (Q4 2025) and $62.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.88 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 665.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.09 Bn |
| Mar 31, 2026 | 60.49 Bn |
| Dec 31, 2025 | 60.46 Bn |
| Sep 30, 2025 | 61.79 Bn |
| Jun 30, 2025 | 61.23 Bn |
| Mar 31, 2025 | 58.66 Bn |
| Dec 31, 2024 | 57.86 Bn |
| Sep 30, 2024 | 60.42 Bn |
| Jun 30, 2024 | 57.66 Bn |
| Mar 31, 2024 | 57.06 Bn |
| Dec 31, 2023 | 59.54 Bn |
| Sep 30, 2023 | 55.47 Bn |
| Jun 30, 2023 | 53.85 Bn |
| Mar 31, 2023 | 55.99 Bn |
| Dec 31, 2022 | 54.60 Bn |
| Sep 30, 2022 | 52.99 Bn |
| Jun 30, 2022 | 53.36 Bn |
| Mar 31, 2022 | 53.89 Bn |
| Dec 31, 2021 | 55.48 Bn |
| Sep 30, 2021 | 55.48 Bn |
Mcdonalds Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();