First Watch Restaurant (FWRG) Goodwill & Intangibles (2020 - 2026)
First Watch Restaurant's Goodwill & Intangibles came in at $590.98 million for Q2 2026, down 1.4% from $599.34 million a year earlier and down 0.3% from the prior quarter.
First Watch Restaurant (FWRG) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, First Watch Restaurant's Goodwill & Intangibles was $595.12 million, up 5.1% from FY2024.
- Goodwill & Intangibles has increased in each of the last three years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by year, Goodwill & Intangibles was $566.16 million in FY2024 (+10.8%), $511.07 million in FY2023 (+4.6%), $488.37 million in FY2022 (unchanged) and $488.22 million in FY2021 (-0.1%).
- The Q2 2026 figure represents the lowest quarterly Goodwill & Intangibles since Q1 2025.
- Year-over-year, Goodwill & Intangibles increased in seven of the last eight quarters, with growth averaging 6.5%.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in Q2 2024 (growth of 15.2%), and the weakest in Q2 2026 (a decline of 1.4%).
- Business Quant data shows FWRG's Goodwill & Intangibles at $592.78 million (Q1 2026), $595.12 million (Q4 2025) and $597.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | First Watch Restaurant | 652.30 Mn | 566.29 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 590.98 Mn |
| Mar 29, 2026 | 592.78 Mn |
| Dec 28, 2025 | 595.12 Mn |
| Sep 28, 2025 | 597.44 Mn |
| Jun 29, 2025 | 599.34 Mn |
| Mar 30, 2025 | 564.54 Mn |
| Dec 29, 2024 | 566.16 Mn |
| Sep 29, 2024 | 567.89 Mn |
| Jun 30, 2024 | 569.59 Mn |
| Mar 31, 2024 | 512.04 Mn |
| Dec 31, 2023 | 511.07 Mn |
| Sep 24, 2023 | 507.25 Mn |
| Jun 25, 2023 | 494.57 Mn |
| Mar 26, 2023 | 488.24 Mn |
| Dec 25, 2022 | 488.37 Mn |
| Sep 25, 2022 | 488.21 Mn |
| Jun 26, 2022 | 488.11 Mn |
| Mar 27, 2022 | 488.08 Mn |
| Dec 26, 2021 | 488.22 Mn |
| Sep 26, 2021 | 488.46 Mn |
First Watch Restaurant Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();