BJs RESTAURANTS (BJRI) Revenue (2010 - 2026)
BJs RESTAURANTS (BJRI) posted Revenue of $388.89 million for Q2 2026, up 6.4% from $365.6 million a year earlier and up 8.6% from the prior quarter.
BJs RESTAURANTS (BJRI) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at BJs RESTAURANTS was $1.43 billion, up 3.5% year-over-year; for FY2025, it was $1.4 billion, up 3.1% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In prior years, BJs RESTAURANTS's Revenue was $1.36 billion in FY2024 (+1.8%), $1.33 billion in FY2023 and $1.09 billion in FY2021 (+39.6%).
- The Q2 2026 figure stands as the highest quarterly Revenue since Q4 2023.
- On a year-over-year basis, Revenue has increased in each of the last six quarters, with growth averaging 1.3% over the last seven quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2021, with growth of 47.8%; the weakest was Q4 2024, with a decline of 12.5%.
- According to Business Quant data, Revenue for the three prior quarters was $358.12 million (Q1 2026), $355.4 million (Q4 2025) and $330.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.68 Bn |
| 10 | BJs RESTAURANTS | 1.26 Bn | 1.18 Bn | 289.79 Mn | 388.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 388.89 Mn |
| Mar 31, 2026 | 358.12 Mn |
| Dec 30, 2025 | 355.40 Mn |
| Sep 30, 2025 | 330.16 Mn |
| Jul 1, 2025 | 365.60 Mn |
| Apr 1, 2025 | 347.97 Mn |
| Dec 31, 2024 | 344.34 Mn |
| Oct 1, 2024 | 325.70 Mn |
| Jul 2, 2024 | 349.93 Mn |
| Apr 2, 2024 | 337.33 Mn |
| Jan 2, 2024 | 393.46 Mn |
| Oct 3, 2023 | 318.64 Mn |
| Jul 4, 2023 | 349.67 Mn |
| Apr 4, 2023 | 341.28 Mn |
| Sep 27, 2022 | 311.35 Mn |
| Jun 28, 2022 | 329.70 Mn |
| Mar 29, 2022 | 298.73 Mn |
| Dec 28, 2021 | 291.27 Mn |
| Sep 28, 2021 | 282.18 Mn |
| Jun 29, 2021 | 290.28 Mn |
BJs RESTAURANTS 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=revenue&ticker=BJRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();