First Watch Restaurant (FWRG) Return on Sales [ROS] (2020 - 2026)
First Watch Restaurant (FWRG) posted Return on Sales [ROS] of 2.29% for Q2 2026, down 0.08 percentage points from 2.38% a year earlier but up 1.99 percentage points from the prior quarter.
First Watch Restaurant (FWRG) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Return on Sales [ROS] at First Watch Restaurant was 2.14%, up 0.46 percentage points year-over-year; for FY2025, it came in at 2.25%, down 1.58 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +16.04 percentage points (FY2020 to FY2025).
- In prior years, First Watch Restaurant's Return on Sales [ROS] was 3.83% in FY2024 (-0.80 pp), 4.63% in FY2023 (+2.31 pp), 2.32% in FY2022 (-1.38 pp) and 3.70% in FY2021 (+17.49 pp).
- Quarterly Return on Sales [ROS] has run from a low of -0.66% in Q4 2021 to a high of 7.25% in Q1 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.14 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 13.18 percentage points; the weakest was Q2 2022, with a drop of 5.26 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 0.30% (Q1 2026), 2.86% (Q4 2025) and 3.18% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | First Watch Restaurant | 652.30 Mn | 566.29 Mn | - | 2.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.29% |
| Mar 29, 2026 | 0.30% |
| Dec 28, 2025 | 2.86% |
| Sep 28, 2025 | 3.18% |
| Jun 29, 2025 | 2.38% |
| Mar 30, 2025 | 0.39% |
| Dec 29, 2024 | 1.47% |
| Sep 29, 2024 | 2.51% |
| Jun 30, 2024 | 6.36% |
| Mar 31, 2024 | 5.07% |
| Dec 31, 2023 | 2.80% |
| Sep 24, 2023 | 3.53% |
| Jun 25, 2023 | 5.24% |
| Mar 26, 2023 | 7.25% |
| Dec 25, 2022 | 0.80% |
| Sep 25, 2022 | 1.40% |
| Jun 26, 2022 | 2.74% |
| Mar 27, 2022 | 4.48% |
| Dec 26, 2021 | -0.66% |
| Sep 26, 2021 | 4.54% |
First Watch Restaurant Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FWRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();