Mcdonalds (MCD) Inventory (2009 - 2026)
Mcdonalds' (MCD) quarterly Inventory came in at $58.0 million in Q2 2026, up 5.45% on a YoY basis from $55.0 million in Q2 2025, and down 4.92% quarter-over-quarter from $61.0 million in Q1 2026.
Mcdonalds (MCD) Inventory (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported Inventory for 18 consecutive years, with $58.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Inventory rose 5.45% year-over-year to $58.0 million; the trailing twelve-month figure through Jun 2026 stood at $58.0 million (up 5.45% YoY), and the FY2025 full-year result was $61.0 million, up 8.93% from the prior year.
- Inventory eased to $58.0 million in Q2 2026 per MCD's latest filing, from $61.0 million in the prior quarter.
- Across five years, Inventory topped out at $61.0 million in Q4 2025 and bottomed at $43.3 million in Q2 2022.
- Historically, Inventory has averaged $52.0 million across 5 years, with a median of $52.2 million in 2022.
- The sharpest annual moves came in 2022 and 2023: Inventory slipped 13.37% in 2022, then advanced 21.02% in 2023.
- Over 5 years, Inventory stood at $52.0 million in 2022, then grew by 1.92% to $53.0 million in 2023, then rose by 5.66% to $56.0 million in 2024, then increased by 8.93% to $61.0 million in 2025, then retreated by 4.92% to $58.0 million in 2026.
- According to Business Quant data, Inventory over the past three periods registered $58.0 million, $61.0 million, and $61.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 46.62 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 49.69 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 75.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.00 Mn |
| Mar 31, 2026 | 61.00 Mn |
| Dec 31, 2025 | 61.00 Mn |
| Sep 30, 2025 | 55.00 Mn |
| Jun 30, 2025 | 55.00 Mn |
| Mar 31, 2025 | 51.00 Mn |
| Dec 31, 2024 | 56.00 Mn |
| Sep 30, 2024 | 54.00 Mn |
| Jun 30, 2024 | 46.00 Mn |
| Mar 31, 2024 | 46.00 Mn |
| Dec 31, 2023 | 53.00 Mn |
| Sep 30, 2023 | 47.60 Mn |
| Jun 30, 2023 | 52.40 Mn |
| Mar 31, 2023 | 51.50 Mn |
| Dec 31, 2022 | 52.00 Mn |
| Sep 30, 2022 | 43.40 Mn |
| Jun 30, 2022 | 43.30 Mn |
| Mar 31, 2022 | 49.60 Mn |
| Dec 31, 2021 | 55.60 Mn |
| Sep 30, 2021 | 50.10 Mn |
Mcdonalds Inventory 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=inventory&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();