Mcdonalds (MCD) Inventory (2009 - 2026)
Mcdonalds' Inventory was $58 million in Q2 2026, up 5.5% from $55 million a year earlier but down 4.9% from the prior quarter.
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Analysis
Mcdonalds (MCD) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Mcdonalds came in at $61 million, up 8.9% from FY2024.
- Inventory has now increased for three consecutive years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In earlier years, Inventory was $56 million in FY2024 (+5.7%), $53 million in FY2023 (+1.9%), $52 million in FY2022 (-6.5%) and $55.6 million in FY2021 (+8.8%).
- Quarterly Inventory has moved between $43.3 million (Q2 2022) and $61 million (Q1 2026) over five years.
- Compared with a year earlier, Inventory has increased for eight straight quarters, with growth averaging 10.7% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q2 2023 (growth of 21.0%); the worst was Q3 2022 (a decline of 13.4%).
- Per Business Quant data, MCD's Inventory in the three quarters before Q2 2026 was $61 million (Q1 2026), $61 million (Q4 2025) and $55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 46.62 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 49.69 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 424.02 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();