BJs RESTAURANTS (BJRI) Total Non-Current Liabilities (2010 - 2026)
BJs RESTAURANTS (BJRI) reported Total Non-Current Liabilities of $578.06 million for Q2 2026, down 7.5% from $625.01 million a year earlier and down 5.5% from the prior quarter.
BJs RESTAURANTS (BJRI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, BJs RESTAURANTS posted Total Non-Current Liabilities of $634.45 million, down 3.4% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $656.94 million in FY2024 (-3.6%), $681.44 million in FY2023 and $686.45 million in FY2021 (-8.7%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2018.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with an average decline of 3.5% over the last seven quarters.
- Over the past five years, the year-over-year decline in Total Non-Current Liabilities ranged from 0.0% (Q3 2025) to 8.7% (Q4 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $611.84 million (Q1 2026), $634.45 million (Q4 2025) and $651.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 1.88 Bn |
| 10 | BJs RESTAURANTS | 1.19 Bn | 1.11 Bn | 289.79 Mn | 578.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 578.06 Mn |
| Mar 31, 2026 | 611.84 Mn |
| Dec 30, 2025 | 634.45 Mn |
| Sep 30, 2025 | 651.04 Mn |
| Jul 1, 2025 | 625.01 Mn |
| Apr 1, 2025 | 635.34 Mn |
| Dec 31, 2024 | 656.94 Mn |
| Oct 1, 2024 | 651.34 Mn |
| Jul 2, 2024 | 644.27 Mn |
| Apr 2, 2024 | 656.51 Mn |
| Jan 2, 2024 | 681.44 Mn |
| Oct 3, 2023 | 665.28 Mn |
| Jul 4, 2023 | 664.49 Mn |
| Apr 4, 2023 | 682.97 Mn |
| Jan 3, 2023 | 689.53 Mn |
| Sep 27, 2022 | 667.94 Mn |
| Jun 28, 2022 | 677.12 Mn |
| Mar 29, 2022 | 667.02 Mn |
| Dec 28, 2021 | 686.45 Mn |
| Sep 28, 2021 | 690.99 Mn |
BJs RESTAURANTS Total Non-Current 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-non-current-liabilities&ticker=BJRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();