First Watch Restaurant (FWRG) Acquisitions (2023 - 2026)
First Watch Restaurant's Acquisitions was $171,000 in Q1 2026, compared with $10,000 a year earlier and down 85.4% from the prior quarter.
Analysis
First Watch Restaurant (FWRG) Acquisitions (2023 - 2026) Analysis & Trends
For FY2025, Acquisitions at First Watch Restaurant came in at $56.01 million, down 28.8% from FY2024.
- In earlier years, Acquisitions was $78.64 million in FY2024 (+97.2%) and $39.88 million in FY2023.
- Quarterly Acquisitions has moved between $10,000 (Q1 2025) and $73.68 million (Q2 2024) over five years.
- Compared with a year earlier, Acquisitions was higher in 1 of the last five quarters, with growth averaging 100.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 171,000.00 |
| Dec 28, 2025 | 1.18 Mn |
| Jun 29, 2025 | 54.82 Mn |
| Mar 30, 2025 | 10,000.00 |
| Dec 29, 2024 | 91,000.00 |
| Sep 29, 2024 | 1.45 Mn |
| Jun 30, 2024 | 73.68 Mn |
| Mar 31, 2024 | 3.42 Mn |
| Dec 31, 2023 | 9.46 Mn |
| Sep 24, 2023 | 22.40 Mn |
| Jun 25, 2023 | 8.02 Mn |
API Access
First Watch Restaurant Acquisitions 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=acquisitions&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();