BJs RESTAURANTS (BJRI) Cost of Revenue (2010 - 2026)
BJs RESTAURANTS's Cost of Revenue was $99.1 million in Q2 2026, up 9.1% from $90.8 million a year earlier and up 10.2% from the prior quarter.
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Analysis
BJs RESTAURANTS (BJRI) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, BJs RESTAURANTS's Cost of Revenue was $364.68 million through Jun 30, 2026, up 3.2% year-over-year; for FY2025, it was $353.29 million, up 0.8% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $350.56 million in FY2024 (+1.2%), $346.57 million in FY2023 and $288.11 million in FY2021 (+47.3%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Compared with a year earlier, Cost of Revenue has increased for three straight quarters, with growth averaging 2.2% over the last seven quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2021 (growth of 56.8%); the worst was Q3 2025 (a decline of 2.0%).
- Per Business Quant data, BJRI's Cost of Revenue in the three quarters before Q2 2026 was $89.91 million (Q1 2026), $90.77 million (Q4 2025) and $84.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 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 | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | BJs RESTAURANTS | 1.31 Bn | 1.23 Bn | 289.79 Mn | 99.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.10 Mn |
| Mar 31, 2026 | 89.91 Mn |
| Dec 30, 2025 | 90.77 Mn |
| Sep 30, 2025 | 84.90 Mn |
| Jul 1, 2025 | 90.80 Mn |
| Apr 1, 2025 | 86.82 Mn |
| Dec 31, 2024 | 89.10 Mn |
| Oct 1, 2024 | 86.67 Mn |
| Jul 2, 2024 | 89.84 Mn |
| Apr 2, 2024 | 84.95 Mn |
| Jan 2, 2024 | 89.17 Mn |
| Oct 3, 2023 | 82.65 Mn |
| Jul 4, 2023 | 90.61 Mn |
| Apr 4, 2023 | 90.88 Mn |
| Sep 27, 2022 | 85.01 Mn |
| Jun 28, 2022 | 90.93 Mn |
| Mar 29, 2022 | 81.47 Mn |
| Dec 28, 2021 | 79.73 Mn |
| Sep 28, 2021 | 76.65 Mn |
| Jun 29, 2021 | 75.59 Mn |
API Access
BJs RESTAURANTS 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=BJRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "BJRI", "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=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();