First Watch Restaurant (FWRG) Inventory (2020 - 2026)
First Watch Restaurant (FWRG) reported Inventory of $7.8 million for Q2 2026, up 15.2% from $6.77 million a year earlier and up 9.3% from the prior quarter.
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Analysis
First Watch Restaurant (FWRG) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, First Watch Restaurant posted Inventory of $7.17 million, up 17.3% from FY2024.
- Inventory has increased for five consecutive years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- By year, Inventory came in at $6.12 million in FY2024 (+13.7%), $5.38 million in FY2023 (+7.0%), $5.03 million in FY2022 (+25.0%) and $4.02 million in FY2021 (+38.0%).
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q4 2020.
- Year over year, Inventory has now increased in each of the last 16 quarters, with growth averaging 16.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Inventory ranged from 7.0% (Q4 2023) to 38.0% (Q4 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.14 million (Q1 2026), $7.17 million (Q4 2025) and $6.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 46.62 Mn |
| 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 | 224.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 49.69 Mn |
| 10 | First Watch Restaurant | 640.58 Mn | 554.57 Mn | - | 7.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 7.80 Mn |
| Mar 29, 2026 | 7.14 Mn |
| Dec 28, 2025 | 7.17 Mn |
| Sep 28, 2025 | 6.49 Mn |
| Jun 29, 2025 | 6.77 Mn |
| Mar 30, 2025 | 6.20 Mn |
| Dec 29, 2024 | 6.12 Mn |
| Sep 29, 2024 | 5.33 Mn |
| Jun 30, 2024 | 5.67 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 5.38 Mn |
| Sep 24, 2023 | 4.79 Mn |
| Jun 25, 2023 | 4.89 Mn |
| Mar 26, 2023 | 4.41 Mn |
| Dec 25, 2022 | 5.03 Mn |
| Sep 25, 2022 | 4.12 Mn |
| Jun 26, 2022 | 3.97 Mn |
| Mar 27, 2022 | 3.73 Mn |
| Dec 26, 2021 | 4.02 Mn |
| Sep 26, 2021 | 3.47 Mn |
API Access
First Watch Restaurant Inventory 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=inventory&ticker=FWRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();