BJs RESTAURANTS (BJRI) Accumulated Expenses (2010 - 2026)
BJs RESTAURANTS's Accumulated Expenses was $98.57 million in Q2 2026, up 1.2% from $97.38 million a year earlier but down 5.4% from the prior quarter.
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Analysis
BJs RESTAURANTS (BJRI) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at BJs RESTAURANTS came in at $105.34 million, unchanged from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $105.32 million in FY2024 (+4.0%), $101.3 million in FY2023 and $112.35 million in FY2021 (+8.7%).
- Quarterly Accumulated Expenses has moved between $88.86 million (Q2 2024) and $112.35 million (Q4 2021) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last seven quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 9.6%); the worst was Q1 2026 (a decline of 3.8%).
- Per Business Quant data, BJRI's Accumulated Expenses in the three quarters before Q2 2026 was $104.25 million (Q1 2026), $105.34 million (Q4 2025) and $105.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | BJs RESTAURANTS | 1.21 Bn | 1.13 Bn | 289.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.57 Mn |
| Mar 31, 2026 | 104.25 Mn |
| Dec 30, 2025 | 105.34 Mn |
| Sep 30, 2025 | 105.17 Mn |
| Jul 1, 2025 | 97.38 Mn |
| Apr 1, 2025 | 108.39 Mn |
| Dec 31, 2024 | 105.32 Mn |
| Oct 1, 2024 | 102.63 Mn |
| Jul 2, 2024 | 88.86 Mn |
| Apr 2, 2024 | 102.18 Mn |
| Jan 2, 2024 | 101.30 Mn |
| Oct 3, 2023 | 101.58 Mn |
| Jul 4, 2023 | 98.11 Mn |
| Apr 4, 2023 | 106.08 Mn |
| Jan 3, 2023 | 97.26 Mn |
| Sep 27, 2022 | 93.66 Mn |
| Jun 28, 2022 | 103.69 Mn |
| Mar 29, 2022 | 97.04 Mn |
| Dec 28, 2021 | 112.35 Mn |
| Sep 28, 2021 | 94.84 Mn |
API Access
BJs RESTAURANTS Accumulated Expenses 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=accumulated-expenses&ticker=BJRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();