First Watch Restaurant (FWRG) Accumulated Expenses (2020 - 2026)
First Watch Restaurant's Accumulated Expenses came in at $46.81 million for Q3 2026, down 6.1% from $49.83 million a year earlier but up 0.6% from the prior quarter.
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Analysis
First Watch Restaurant (FWRG) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, First Watch Restaurant's Accumulated Expenses was $38.5 million, down 2.8% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $39.61 million in FY2024 (+11.2%), $35.63 million in FY2023 (+56.8%), $22.73 million in FY2022 (+43.0%) and $15.89 million in FY2021 (+17.9%).
- The five-year range for quarterly Accumulated Expenses is $15.89 million (Q4 2021) to $49.83 million (Q3 2025).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 8.5%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2023 (growth of 56.8%), and the weakest in Q3 2026 (a decline of 6.1%).
- Business Quant data shows FWRG's Accumulated Expenses at $46.51 million (Q2 2026), $43.58 million (Q1 2026) and $38.5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn |
| 10 | First Watch Restaurant | 829.60 Mn | 743.24 Mn | 3.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 46.81 Mn |
| Jun 28, 2026 | 46.51 Mn |
| Mar 29, 2026 | 43.58 Mn |
| Dec 28, 2025 | 38.50 Mn |
| Sep 28, 2025 | 49.83 Mn |
| Jun 29, 2025 | 47.74 Mn |
| Mar 30, 2025 | 40.59 Mn |
| Dec 29, 2024 | 39.61 Mn |
| Sep 29, 2024 | 43.79 Mn |
| Jun 30, 2024 | 39.03 Mn |
| Mar 31, 2024 | 32.46 Mn |
| Dec 31, 2023 | 35.63 Mn |
| Sep 24, 2023 | 33.84 Mn |
| Jun 25, 2023 | 32.32 Mn |
| Mar 26, 2023 | 24.87 Mn |
| Dec 25, 2022 | 22.73 Mn |
| Sep 25, 2022 | 23.68 Mn |
| Jun 26, 2022 | 21.35 Mn |
| Mar 27, 2022 | 17.54 Mn |
| Dec 26, 2021 | 15.89 Mn |
API Access
First Watch Restaurant Accumulated 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=accumulated-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();