First Watch Restaurant (FWRG) Enterprise Value (2021 - 2026)
First Watch Restaurant (FWRG) posted Enterprise Value of $765.73 million for Q2 2026, down 20.6% from $963.92 million a year earlier but up 25.2% from the prior quarter.
First Watch Restaurant (FWRG) Enterprise Value (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Enterprise Value at First Watch Restaurant was $700.21 million, down 18.7% year-over-year; for FY2025, it was $951.36 million, down 13.7% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of 7.3% (FY2021 to FY2025).
- In prior years, First Watch Restaurant's Enterprise Value was $1.1 billion in FY2024 (-4.5%), $1.15 billion in FY2023 (+45.8%), $791.72 million in FY2022 (+10.2%) and $718.11 million in FY2021.
- Quarterly Enterprise Value has run from a low of $611.79 million in Q1 2026 to a high of $1.44 billion in Q1 2024 over five years.
- On a year-over-year basis, Enterprise Value has declined in each of the last three quarters, with an average decline of 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2024, with growth of 68.7%; the weakest was Q1 2026, with a decline of 39.4%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $611.79 million (Q1 2026), $951.36 million (Q4 2025) and $955.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | First Watch Restaurant | 640.58 Mn | 554.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 765.73 Mn |
| Mar 29, 2026 | 611.79 Mn |
| Dec 28, 2025 | 951.36 Mn |
| Sep 28, 2025 | 955.80 Mn |
| Jun 29, 2025 | 963.92 Mn |
| Mar 30, 2025 | 1.01 Bn |
| Dec 29, 2024 | 1.10 Bn |
| Sep 29, 2024 | 901.96 Mn |
| Jun 30, 2024 | 1.02 Bn |
| Mar 31, 2024 | 1.44 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 24, 2023 | 1.03 Bn |
| Jun 25, 2023 | 890.60 Mn |
| Mar 26, 2023 | 855.60 Mn |
| Dec 25, 2022 | 791.72 Mn |
| Sep 25, 2022 | 808.41 Mn |
| Jun 26, 2022 | 803.03 Mn |
| Mar 27, 2022 | 696.31 Mn |
| Dec 26, 2021 | 718.11 Mn |
First Watch Restaurant Enterprise Value 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=enterprise-value&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();