BJs RESTAURANTS (BJRI) Total Liabilities (2010 - 2026)
BJs RESTAURANTS (BJRI) recorded Total Liabilities of $594.39 million in Q2 2026, down 6.9% from $638.67 million a year earlier and down 5.1% from the prior quarter.
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Analysis
BJs RESTAURANTS (BJRI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, BJs RESTAURANTS reported Total Liabilities of $649.26 million, down 3.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $671.05 million in FY2024 (-3.1%), $692.69 million in FY2023 and $701.4 million in FY2021 (-8.4%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q4 2018.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 3.2% over the last seven quarters.
- Over the past five years, the year-over-year decline in Total Liabilities ranged from 0.0% (Q3 2025) to 8.4% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at $626.54 million (Q1 2026), $649.26 million (Q4 2025) and $665.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 2.09 Bn |
| 10 | BJs RESTAURANTS | 1.26 Bn | 1.18 Bn | 289.79 Mn | 594.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 594.39 Mn |
| Mar 31, 2026 | 626.54 Mn |
| Dec 30, 2025 | 649.26 Mn |
| Sep 30, 2025 | 665.85 Mn |
| Jul 1, 2025 | 638.67 Mn |
| Apr 1, 2025 | 648.37 Mn |
| Dec 31, 2024 | 671.05 Mn |
| Oct 1, 2024 | 665.61 Mn |
| Jul 2, 2024 | 657.65 Mn |
| Apr 2, 2024 | 669.57 Mn |
| Jan 2, 2024 | 692.69 Mn |
| Oct 3, 2023 | 676.17 Mn |
| Jul 4, 2023 | 675.22 Mn |
| Apr 4, 2023 | 692.93 Mn |
| Jan 3, 2023 | 700.41 Mn |
| Sep 27, 2022 | 678.53 Mn |
| Jun 28, 2022 | 690.77 Mn |
| Mar 29, 2022 | 682.40 Mn |
| Dec 28, 2021 | 701.40 Mn |
| Sep 28, 2021 | 705.70 Mn |
API Access
BJs RESTAURANTS Total Liabilities 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=total-liabilities&ticker=BJRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();