Restaurant Brands International (QSR) Cost of Revenue (2014 - 2026)
Restaurant Brands International (QSR) recorded Cost of Revenue of $1.14 billion in Q2 2026, up 5.2% from $1.09 billion a year earlier and up 9.8% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Cost of Revenue (2014 - 2026) Analysis & Trends
On a TTM basis, Restaurant Brands International's Cost of Revenue came in at $4.46 billion as of Jun 30, 2026, up 8.2% year-over-year; for FY2025, it came in at $4.33 billion, up 23.5% from FY2024.
- Annual Cost of Revenue has increased for five straight years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $3.51 billion in FY2024 (+44.1%), $2.44 billion in FY2023 (+5.3%), $2.31 billion in FY2022 (+22.3%) and $1.89 billion in FY2021 (+17.4%).
- Quarterly Cost of Revenue has ranged from $490 million in Q3 2021 to $1.16 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for 22 consecutive quarters, with growth averaging 31.2% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 2.4% (Q3 2023) and 63.8% (Q3 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $1.04 billion (Q1 2026), $1.16 billion (Q4 2025) and $1.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.75 Bn | 166.57 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 109.77 Bn | 97.39 Bn | - | - |
| 3 | Yum Brands | 41.45 Bn | 38.34 Bn | 1.47 Bn | 700.00 Mn |
| 4 | Chipotle Mexican Grill | 39.14 Bn | 35.12 Bn | - | - |
| 5 | Restaurant Brands International | 25.78 Bn | 21.34 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 24.33 Bn | 23.43 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 15.56 Bn | 9.22 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.12 Bn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 964.00 Mn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 826.00 Mn |
| Mar 31, 2024 | 606.00 Mn |
| Dec 31, 2023 | 643.00 Mn |
| Sep 30, 2023 | 630.00 Mn |
| Jun 30, 2023 | 612.00 Mn |
| Mar 31, 2023 | 550.00 Mn |
| Dec 31, 2022 | 619.00 Mn |
| Sep 30, 2022 | 615.00 Mn |
| Jun 30, 2022 | 584.00 Mn |
| Mar 31, 2022 | 494.00 Mn |
| Dec 31, 2021 | 532.00 Mn |
| Sep 30, 2021 | 490.00 Mn |
API Access
Restaurant Brands International Cost of Revenue 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=cost-of-revenue&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();