Restaurant Brands International (QSR) Inventory (2013 - 2026)
Restaurant Brands International's Inventory came in at $224 million for Q2 2026, up 34.1% from $167 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International's Inventory was $205 million, up 44.4% from FY2024.
- Inventory carries a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Going back by year, Inventory was $142 million in FY2024 (-14.5%), $166 million in FY2023 (+24.8%), $133 million in FY2022 (+38.5%) and $96 million in FY2021 (unchanged).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2013.
- Year-over-year, Inventory has increased for six consecutive quarters, with growth averaging 16.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q2 2023 (growth of 50.0%), and the weakest in Q4 2024 (a decline of 14.5%).
- Business Quant data shows QSR's Inventory at $203 million (Q1 2026), $205 million (Q4 2025) and $216 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 46.62 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 49.69 Mn |
| 10 | Dominos Pizza | 9.98 Bn | 9.32 Bn | 478.23 Mn | 75.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 224.00 Mn |
| Mar 31, 2026 | 203.00 Mn |
| Dec 31, 2025 | 205.00 Mn |
| Sep 30, 2025 | 216.00 Mn |
| Jun 30, 2025 | 167.00 Mn |
| Mar 31, 2025 | 159.00 Mn |
| Dec 31, 2024 | 142.00 Mn |
| Sep 30, 2024 | 169.00 Mn |
| Jun 30, 2024 | 160.00 Mn |
| Mar 31, 2024 | 152.00 Mn |
| Dec 31, 2023 | 166.00 Mn |
| Sep 30, 2023 | 160.00 Mn |
| Jun 30, 2023 | 171.00 Mn |
| Mar 31, 2023 | 145.00 Mn |
| Dec 31, 2022 | 133.00 Mn |
| Sep 30, 2022 | 129.00 Mn |
| Jun 30, 2022 | 114.00 Mn |
| Mar 31, 2022 | 108.00 Mn |
| Dec 31, 2021 | 96.00 Mn |
| Sep 30, 2021 | 96.00 Mn |
API Access
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "QSR", "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=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();