First Watch Restaurant (FWRG) Revenue (2020 - 2026)
First Watch Restaurant (FWRG) recorded Revenue of $354.67 million in Q2 2026, up 15.2% from $307.89 million a year earlier and up 7.2% from the prior quarter.
First Watch Restaurant (FWRG) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, First Watch Restaurant's Revenue came in at $1.32 billion as of Jun 28, 2026, up 19.3% year-over-year; for FY2025, it came in at $1.22 billion, up 20.3% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $1.02 billion in FY2024 (+13.9%), $891.55 million in FY2023 (+22.1%), $730.16 million in FY2022 (+21.5%) and $601.19 million in FY2021 (+75.6%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q3 2020.
- On a year-over-year basis, Revenue has increased for 20 consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 7.6% (Q4 2024) and 57.8% (Q3 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $330.96 million (Q1 2026), $316.35 million (Q4 2025) and $316.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.68 Bn |
| 10 | First Watch Restaurant | 627.62 Mn | 541.61 Mn | - | 354.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 354.67 Mn |
| Mar 29, 2026 | 330.96 Mn |
| Dec 28, 2025 | 316.35 Mn |
| Sep 28, 2025 | 316.02 Mn |
| Jun 29, 2025 | 307.89 Mn |
| Mar 30, 2025 | 282.24 Mn |
| Dec 29, 2024 | 263.29 Mn |
| Sep 29, 2024 | 251.61 Mn |
| Jun 30, 2024 | 258.56 Mn |
| Mar 31, 2024 | 242.45 Mn |
| Dec 31, 2023 | 244.63 Mn |
| Sep 24, 2023 | 219.21 Mn |
| Jun 25, 2023 | 216.30 Mn |
| Mar 26, 2023 | 211.41 Mn |
| Dec 25, 2022 | 185.75 Mn |
| Sep 25, 2022 | 186.85 Mn |
| Jun 26, 2022 | 184.45 Mn |
| Mar 27, 2022 | 173.11 Mn |
| Dec 26, 2021 | 162.62 Mn |
| Sep 26, 2021 | 157.44 Mn |
First Watch Restaurant Revenue 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=revenue&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();