First Watch Restaurant (FWRG) Other Operating Expenses (2020 - 2026)
First Watch Restaurant's Other Operating Expenses came in at $3.32 million for Q2 2026, down 5.5% from $3.51 million a year earlier but up 8.4% from the prior quarter.
Powered by 
Analysis
First Watch Restaurant (FWRG) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, First Watch Restaurant reported Other Operating Expenses of $13.14 million, up 2.0% year-over-year; for FY2025, it was $12.93 million, up 27.9% from FY2024.
- Other Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 27.2% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $10.11 million in FY2024 (+40.9%), $7.17 million in FY2023 (+32.5%), $5.41 million in FY2022 (+63.6%) and $3.31 million in FY2021 (-14.7%).
- The five-year range for quarterly Other Operating Expenses is $510,000 (Q3 2021) to $4.33 million (Q4 2024).
- Year-over-year, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 33.5%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2022 (growth of 192.2%), and the weakest in Q4 2021 (a decline of 82.3%).
- Business Quant data shows FWRG's Other Operating Expenses at $3.06 million (Q1 2026), $2.95 million (Q4 2025) and $3.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | First Watch Restaurant | 627.62 Mn | 541.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.32 Mn |
| Mar 29, 2026 | 3.06 Mn |
| Dec 28, 2025 | 2.95 Mn |
| Sep 28, 2025 | 3.81 Mn |
| Jun 29, 2025 | 3.51 Mn |
| Mar 30, 2025 | 2.66 Mn |
| Dec 29, 2024 | 4.33 Mn |
| Sep 29, 2024 | 2.39 Mn |
| Jun 30, 2024 | 1.83 Mn |
| Mar 31, 2024 | 1.57 Mn |
| Dec 31, 2023 | 2.85 Mn |
| Sep 24, 2023 | 2.04 Mn |
| Jun 25, 2023 | 1.25 Mn |
| Mar 26, 2023 | 1.04 Mn |
| Dec 25, 2022 | 1.85 Mn |
| Sep 25, 2022 | 1.49 Mn |
| Jun 26, 2022 | 1.09 Mn |
| Mar 27, 2022 | 985,000.00 |
| Dec 26, 2021 | 737,000.00 |
| Sep 26, 2021 | 510,000.00 |
API Access
First Watch Restaurant Other Operating Expenses 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=other-operating-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "FWRG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();