First Watch Restaurant (FWRG) Change in Accrued Expenses (2020 - 2026)
First Watch Restaurant's Change in Accrued Expenses came in at $2 million for Q3 2026, down 26.8% from $2.73 million a year earlier but up 8.1% from the prior quarter.
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Analysis
First Watch Restaurant (FWRG) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, First Watch Restaurant reported Change in Accrued Expenses of $4.54 million, down 40.4% year-over-year; for FY2025, it came in at $6.58 million, up 148.5% from FY2024.
- Going back by year, Change in Accrued 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 Accrued Expenses is -$9.23 million (Q1 2022) to $12.87 million (Q2 2022).
- Year-over-year, Change in Accrued Expenses increased in two of the last five quarters, with growth averaging 5.1%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q2 2022 (growth of 339.3%), and the weakest in Q3 2025 (a decline of 75.9%).
- Business Quant data shows FWRG's Change in Accrued Expenses at $1.85 million (Q2 2026), $5.66 million (Q1 2026) and -$4.97 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | - | 13.30 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 65.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 129.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 129.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | -18.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | -10.77 Mn |
| 10 | First Watch Restaurant | 829.60 Mn | 743.24 Mn | 3.14 Mn | 2.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 2.00 Mn |
| 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 |
API Access
First Watch Restaurant Change in Accrued 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();