First Watch Restaurant (FWRG) Enterprise Value (2021 - 2026)
First Watch Restaurant (FWRG) posted Enterprise Value of $604.84 million for Q3 2026, down 36.7% from $955.8 million a year earlier and down 21.0% from the prior quarter.
First Watch Restaurant (FWRG) Enterprise Value (2021 - 2026) Analysis & Trends
For the trailing twelve months through Sep 27, 2026, Enterprise Value at First Watch Restaurant was $539.55 million, down 39.0% 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.
- The Q3 2026 figure stands as the lowest quarterly Enterprise Value in data going back to Q4 2021.
- On a year-over-year basis, Enterprise Value has declined in each of the last four quarters, with an average decline of 18.0% 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 $765.73 million (Q2 2026), $611.79 million (Q1 2026) and $951.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - |
| 10 | First Watch Restaurant | 835.07 Mn | 748.71 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 604.84 Mn |
| 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();