BJs RESTAURANTS (BJRI) Non-Current Assets (2010 - 2026)
BJs RESTAURANTS (BJRI) posted Non-Current Assets of $937.93 million for Q2 2026, down 1.5% from $952.67 million a year earlier and down 0.1% from the prior quarter.
BJs RESTAURANTS (BJRI) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, BJs RESTAURANTS's Non-Current Assets came in at $940.53 million, down 2.2% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, BJs RESTAURANTS's Non-Current Assets was $961.5 million in FY2024 (-1.4%), $975.43 million in FY2023 and $944.35 million in FY2021 (-2.1%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q2 2021.
- On a year-over-year basis, Non-Current Assets has declined in each of the last seven quarters, with an average decline of 2.2% over the last seven quarters.
- The year-over-year decline in Non-Current Assets has ranged between 1.4% (Q4 2024) and 3.5% (Q3 2021) over the last five years.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $938.68 million (Q1 2026), $940.53 million (Q4 2025) and $951.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 20.76 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 6.14 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 7.92 Bn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 12.27 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 3.31 Bn |
| 10 | BJs RESTAURANTS | 1.19 Bn | 1.11 Bn | 289.79 Mn | 937.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 937.93 Mn |
| Mar 31, 2026 | 938.68 Mn |
| Dec 30, 2025 | 940.53 Mn |
| Sep 30, 2025 | 951.42 Mn |
| Jul 1, 2025 | 952.67 Mn |
| Apr 1, 2025 | 955.77 Mn |
| Dec 31, 2024 | 961.50 Mn |
| Oct 1, 2024 | 977.32 Mn |
| Jul 2, 2024 | 984.09 Mn |
| Apr 2, 2024 | 979.28 Mn |
| Jan 2, 2024 | 975.43 Mn |
| Oct 3, 2023 | 975.88 Mn |
| Jul 4, 2023 | 975.49 Mn |
| Apr 4, 2023 | 966.98 Mn |
| Jan 3, 2023 | 963.66 Mn |
| Sep 27, 2022 | 955.75 Mn |
| Jun 28, 2022 | 949.57 Mn |
| Mar 29, 2022 | 946.47 Mn |
| Dec 28, 2021 | 944.35 Mn |
| Sep 28, 2021 | 939.31 Mn |
BJs RESTAURANTS Non-Current Assets 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=non-current-assets&ticker=BJRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();