First Watch Restaurant (FWRG) Change in Accured Expenses (2020 - 2026)
First Watch Restaurant's Change in Accured Expenses came in at $1.85 million for Q2 2026, down 72.9% from $6.82 million a year earlier and down 67.3% from the prior quarter.
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Analysis
First Watch Restaurant (FWRG) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, First Watch Restaurant reported Change in Accured Expenses of $5.27 million, down 67.4% year-over-year; for FY2025, it came in at $6.58 million, up 148.5% from FY2024.
- Going back by year, Change in Accured Expenses was $2.65 million in FY2024 (-56.5%), $6.08 million in FY2023 (+28.3%), $4.74 million in FY2022 (-32.4%) and $7.01 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$9.23 million (Q1 2022) to $12.87 million (Q2 2022).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 13.1%.
- Business Quant data shows FWRG's Change in Accured Expenses at $5.66 million (Q1 2026), -$4.97 million (Q4 2025) and $2.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 100.69 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 15.18 Mn |
| 10 | First Watch Restaurant | 652.30 Mn | 566.29 Mn | - | 1.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.85 Mn |
| Mar 29, 2026 | 5.66 Mn |
| Dec 28, 2025 | -4.97 Mn |
| Sep 28, 2025 | 2.73 Mn |
| Jun 29, 2025 | 6.82 Mn |
| Mar 30, 2025 | 2.00 Mn |
| Dec 29, 2024 | -3.92 Mn |
| Sep 29, 2024 | 11.30 Mn |
| Jun 30, 2024 | -6.43 Mn |
| Mar 31, 2024 | 1.70 Mn |
| Dec 31, 2023 | 1.09 Mn |
| Sep 24, 2023 | -824,000.00 |
| Jun 25, 2023 | 12.34 Mn |
| Mar 26, 2023 | -6.52 Mn |
| Dec 25, 2022 | -1.29 Mn |
| Sep 25, 2022 | 2.40 Mn |
| Jun 26, 2022 | 12.87 Mn |
| Mar 27, 2022 | -9.23 Mn |
| Dec 26, 2021 | -1.40 Mn |
| Sep 26, 2021 | 2.84 Mn |
API Access
First Watch Restaurant Change in Accured 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=change-in-accured-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();