First Watch Restaurant (FWRG) Total Liabilities (2020 - 2026)
First Watch Restaurant (FWRG) reported Total Liabilities of $1.19 billion for Q2 2026, up 10.4% from $1.07 billion a year earlier and up 3.5% from the prior quarter.
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Analysis
First Watch Restaurant (FWRG) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, First Watch Restaurant posted Total Liabilities of $1.12 billion, up 21.4% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $918.97 million in FY2024 (+30.2%), $705.76 million in FY2023 (+21.4%), $581.31 million in FY2022 (+7.2%) and $542.49 million in FY2021 (-21.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2020.
- Year over year, Total Liabilities has now increased in each of the last 15 quarters, with growth averaging 25.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2024 (growth of 38.1%); the low point was Q4 2021 (a decline of 21.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.15 billion (Q1 2026), $1.12 billion (Q4 2025) and $1.11 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 2.09 Bn |
| 10 | First Watch Restaurant | 640.58 Mn | 554.57 Mn | - | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.19 Bn |
| Mar 29, 2026 | 1.15 Bn |
| Dec 28, 2025 | 1.12 Bn |
| Sep 28, 2025 | 1.11 Bn |
| Jun 29, 2025 | 1.07 Bn |
| Mar 30, 2025 | 947.85 Mn |
| Dec 29, 2024 | 918.97 Mn |
| Sep 29, 2024 | 895.83 Mn |
| Jun 30, 2024 | 850.87 Mn |
| Mar 31, 2024 | 704.82 Mn |
| Dec 31, 2023 | 705.76 Mn |
| Sep 24, 2023 | 648.76 Mn |
| Jun 25, 2023 | 616.78 Mn |
| Mar 26, 2023 | 580.50 Mn |
| Dec 25, 2022 | 581.31 Mn |
| Sep 25, 2022 | 570.21 Mn |
| Jun 26, 2022 | 563.13 Mn |
| Mar 27, 2022 | 537.97 Mn |
| Dec 26, 2021 | 542.49 Mn |
| Sep 26, 2021 | 714.68 Mn |
API Access
First Watch Restaurant Total Liabilities 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=total-liabilities&ticker=FWRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();