Mcdonalds (MCD) Total Non-Current Liabilities (2009 - 2026)
Mcdonalds (MCD) reported Total Non-Current Liabilities of $60.09 billion for Q2 2026, down 1.9% from $61.23 billion a year earlier and down 0.7% 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 $60.46 billion, up 4.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $57.86 billion in FY2024 (-2.8%), $59.54 billion in FY2023 (+9.1%), $54.6 billion in FY2022 (-1.6%) and $55.48 billion in FY2021 (-3.4%).
- 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 2.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2023 (growth of 9.1%); the low point was Q3 2022 (a decline of 4.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $60.49 billion (Q1 2026), $60.46 billion (Q4 2025) and $61.79 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 6.89 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 18.84 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 18.84 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.88 Bn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 3.84 Bn |
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();