BJs RESTAURANTS (BJRI) Selling, General & Administrative (2010 - 2026)
BJs RESTAURANTS's Selling, General & Administrative was $26.34 million in Q2 2026, up 21.1% from $21.75 million a year earlier and up 19.9% from the prior quarter.
BJs RESTAURANTS (BJRI) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, BJs RESTAURANTS's Selling, General & Administrative was $95.81 million through Jun 30, 2026, up 8.7% year-over-year; for FY2025, it was $91.01 million, up 3.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $88.27 million in FY2024 (+7.5%), $82.1 million in FY2023 and $67.96 million in FY2021 (+24.3%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q4 2023.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 2.8% over the last seven quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 37.8%); the worst was Q4 2024 (a decline of 15.5%).
- Per Business Quant data, BJRI's Selling, General & Administrative in the three quarters before Q2 2026 was $21.97 million (Q1 2026), $25.07 million (Q4 2025) and $22.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 139.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 72.41 Mn |
| 10 | BJs RESTAURANTS | 1.25 Bn | 1.17 Bn | 289.79 Mn | 26.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.34 Mn |
| Mar 31, 2026 | 21.97 Mn |
| Dec 30, 2025 | 25.07 Mn |
| Sep 30, 2025 | 22.43 Mn |
| Jul 1, 2025 | 21.75 Mn |
| Apr 1, 2025 | 21.75 Mn |
| Dec 31, 2024 | 23.71 Mn |
| Oct 1, 2024 | 20.96 Mn |
| Jul 2, 2024 | 20.60 Mn |
| Apr 2, 2024 | 23.00 Mn |
| Jan 2, 2024 | 28.06 Mn |
| Oct 3, 2023 | 19.47 Mn |
| Jul 4, 2023 | 21.19 Mn |
| Apr 4, 2023 | 19.71 Mn |
| Sep 27, 2022 | 18.89 Mn |
| Jun 28, 2022 | 16.91 Mn |
| Mar 29, 2022 | 18.25 Mn |
| Dec 28, 2021 | 18.37 Mn |
| Sep 28, 2021 | 17.29 Mn |
| Jun 29, 2021 | 17.03 Mn |
BJs RESTAURANTS Selling, General & Administrative 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=selling-general-and-administrative&ticker=BJRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BJRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();