BJs RESTAURANTS (BJRI) Cash & Equivalents (2010 - 2026)
BJs RESTAURANTS (BJRI) posted Cash & Equivalents of $14.43 million for Q2 2026, down 44.4% from $25.96 million a year earlier and down 36.4% from the prior quarter.
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Analysis
BJs RESTAURANTS (BJRI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, BJs RESTAURANTS's Cash & Equivalents came in at $23.78 million, down 8.9% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -14.4% (FY2020 to FY2025).
- In prior years, BJs RESTAURANTS's Cash & Equivalents was $26.1 million in FY2024 (-10.2%), $29.07 million in FY2023 and $38.53 million in FY2021 (-25.4%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents in data going back to Q2 2010.
- On a year-over-year basis, Cash & Equivalents increased in four of the last seven quarters, with growth averaging 7.9%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2025, with growth of 60.4%; the weakest was Q2 2026, with a decline of 44.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $22.67 million (Q1 2026), $23.78 million (Q4 2025) and $25.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 202.43 Mn |
| 10 | BJs RESTAURANTS | 1.21 Bn | 1.13 Bn | 289.79 Mn | 14.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.43 Mn |
| Mar 31, 2026 | 22.67 Mn |
| Dec 30, 2025 | 23.78 Mn |
| Sep 30, 2025 | 25.43 Mn |
| Jul 1, 2025 | 25.96 Mn |
| Apr 1, 2025 | 19.00 Mn |
| Dec 31, 2024 | 26.10 Mn |
| Oct 1, 2024 | 18.42 Mn |
| Jul 2, 2024 | 16.19 Mn |
| Apr 2, 2024 | 18.82 Mn |
| Jan 2, 2024 | 29.07 Mn |
| Oct 3, 2023 | 11.97 Mn |
| Jul 4, 2023 | 6.05 Mn |
| Apr 4, 2023 | 29.30 Mn |
| Jan 3, 2023 | 24.87 Mn |
| Sep 27, 2022 | 19.18 Mn |
| Jun 28, 2022 | 37.76 Mn |
| Mar 29, 2022 | 27.20 Mn |
| Dec 28, 2021 | 38.53 Mn |
| Sep 28, 2021 | 59.82 Mn |
API Access
BJs RESTAURANTS Cash & Equivalents 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=cash-and-equivalents&ticker=BJRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();