BJs RESTAURANTS (BJRI) Change in Accrued Expenses (2009 - 2026)
BJs RESTAURANTS's Change in Accured Expenses came in at -$5.83 million for Q2 2026, compared with -$11.01 million a year earlier.
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Analysis
BJs RESTAURANTS (BJRI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, BJs RESTAURANTS reported Change in Accured Expenses of $1.04 million, down 87.8% year-over-year; for FY2025, it came in at $20,000, down 99.5% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -45.8% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $4.04 million in FY2024 (-0.9%), $4.07 million in FY2023 and $9.94 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$19.45 million (Q3 2021) to $21.32 million (Q4 2023).
- Year-over-year, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 5.3%.
- Business Quant data shows BJRI's Change in Accured Expenses at -$1.09 million (Q1 2026), $168,000 (Q4 2025) and $7.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 13.30 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 65.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 129.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 129.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | -18.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | -10.77 Mn |
| 10 | BJs RESTAURANTS | 1.22 Bn | 1.14 Bn | 267.89 Mn | 14.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2026 | 14.70 Mn |
| Jun 30, 2026 | -5.83 Mn |
| Mar 31, 2026 | -1.09 Mn |
| Dec 30, 2025 | 168,000.00 |
| Sep 30, 2025 | 7.79 Mn |
| Jul 1, 2025 | -11.01 Mn |
| Apr 1, 2025 | 3.07 Mn |
| Dec 31, 2024 | 2.69 Mn |
| Oct 1, 2024 | 13.77 Mn |
| Jul 2, 2024 | -13.32 Mn |
| Apr 2, 2024 | 888,000.00 |
| Dec 31, 2023 | 4.07 Mn |
| Oct 3, 2023 | 3.47 Mn |
| Jul 4, 2023 | -7.96 Mn |
| Apr 4, 2023 | 8.83 Mn |
| Dec 31, 2022 | -13.62 Mn |
| Sep 27, 2022 | -8.65 Mn |
| Jun 28, 2022 | 6.68 Mn |
| Mar 29, 2022 | -15.27 Mn |
| Dec 28, 2021 | 17.53 Mn |
API Access
BJs RESTAURANTS Change in Accrued 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=change-in-accured-expenses&ticker=BJRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();