First Watch Restaurant (FWRG) Change in Inventory (2020 - 2026)
First Watch Restaurant (FWRG) reported Change in Inventory of $664,000 for Q2 2026, up 73.8% from $382,000 a year earlier.
First Watch Restaurant (FWRG) Change in Inventory (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, First Watch Restaurant's Change in Inventory came in at $1.03 million, up 12.3% year-over-year; for FY2025, it came in at $867,000, up 70.7% from FY2024.
- Change in Inventory has a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- By year, Change in Inventory came in at $508,000 in FY2024 (+719.4%), $62,000 in FY2023 (-93.8%), $1.01 million in FY2022 (-9.3%) and $1.11 million in FY2021 (+445.8%).
- Five-year quarterly Change in Inventory spans a low of -$622,000 in Q1 2023 and a high of $912,000 in Q4 2022.
- Year over year, Change in Inventory gained in three of the last four quarters, with growth averaging 40.6%.
- The high point for year-over-year Change in Inventory in five years was Q4 2021 (growth of 114.8%); the low point was Q2 2022 (a decline of 47.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$37,000 (Q1 2026), $688,000 (Q4 2025) and -$286,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 54.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.97 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | -19.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 38.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 3.64 Mn |
| 10 | First Watch Restaurant | 627.62 Mn | 541.61 Mn | - | 664,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 664,000.00 |
| Mar 29, 2026 | -37,000.00 |
| Dec 28, 2025 | 688,000.00 |
| Sep 28, 2025 | -286,000.00 |
| Jun 29, 2025 | 382,000.00 |
| Mar 30, 2025 | 83,000.00 |
| Dec 29, 2024 | 788,000.00 |
| Sep 29, 2024 | -337,000.00 |
| Jun 30, 2024 | 255,000.00 |
| Mar 31, 2024 | -198,000.00 |
| Dec 31, 2023 | 520,000.00 |
| Sep 24, 2023 | -260,000.00 |
| Jun 25, 2023 | 424,000.00 |
| Mar 26, 2023 | -622,000.00 |
| Dec 25, 2022 | 912,000.00 |
| Sep 25, 2022 | 150,000.00 |
| Jun 26, 2022 | 240,000.00 |
| Mar 27, 2022 | -297,000.00 |
| Dec 26, 2021 | 550,000.00 |
| Sep 26, 2021 | 226,000.00 |
First Watch Restaurant Change in 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=change-in-inventory&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();