First Watch Restaurant (FWRG) Cash & Equivalents (2020 - 2026)
First Watch Restaurant's Cash & Equivalents came in at $20.49 million for Q2 2026, up 6.8% from $19.18 million a year earlier but down 13.1% from the prior quarter.
First Watch Restaurant (FWRG) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, First Watch Restaurant's Cash & Equivalents was $21.25 million, down 36.2% from FY2024.
- Cash & Equivalents has declined in each of the last four years, with a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $33.31 million in FY2024 (-32.9%), $49.63 million in FY2023 (-0.1%), $49.67 million in FY2022 (-4.2%) and $51.86 million in FY2021 (+33.5%).
- The five-year range for quarterly Cash & Equivalents is $18.61 million (Q1 2025) to $66.77 million (Q2 2023).
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 22.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 33.5%), and the weakest in Q3 2025 (a decline of 59.5%).
- Business Quant data shows FWRG's Cash & Equivalents at $23.57 million (Q1 2026), $21.25 million (Q4 2025) and $20.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 202.43 Mn |
| 10 | First Watch Restaurant | 652.30 Mn | 566.29 Mn | - | 20.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 20.49 Mn |
| Mar 29, 2026 | 23.57 Mn |
| Dec 28, 2025 | 21.25 Mn |
| Sep 28, 2025 | 20.71 Mn |
| Jun 29, 2025 | 19.18 Mn |
| Mar 30, 2025 | 18.61 Mn |
| Dec 29, 2024 | 33.31 Mn |
| Sep 29, 2024 | 51.13 Mn |
| Jun 30, 2024 | 45.10 Mn |
| Mar 31, 2024 | 43.25 Mn |
| Dec 31, 2023 | 49.63 Mn |
| Sep 24, 2023 | 39.92 Mn |
| Jun 25, 2023 | 66.77 Mn |
| Mar 26, 2023 | 54.42 Mn |
| Dec 25, 2022 | 49.67 Mn |
| Sep 25, 2022 | 49.37 Mn |
| Jun 26, 2022 | 53.57 Mn |
| Mar 27, 2022 | 46.52 Mn |
| Dec 26, 2021 | 51.86 Mn |
| Sep 26, 2021 | 51.85 Mn |
First Watch Restaurant Cash & Equivalents 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=cash-and-equivalents&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();