First Watch Restaurant (FWRG) Total Current Liabilities (2020 - 2026)
First Watch Restaurant's Total Current Liabilities was $177.89 million in Q2 2026, up 12.4% from $158.33 million a year earlier and up 0.2% from the prior quarter.
First Watch Restaurant (FWRG) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at First Watch Restaurant came in at $167.5 million, up 21.0% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $138.47 million in FY2024 (+20.3%), $115.07 million in FY2023 (+15.1%), $99.98 million in FY2022 (+3.6%) and $96.52 million in FY2021 (+26.1%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Current Liabilities has increased for 16 straight quarters, with growth averaging 24.9% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 3.6% (Q4 2022) and 33.2% (Q2 2025) over the last five years.
- Per Business Quant data, FWRG's Total Current Liabilities in the three quarters before Q2 2026 was $177.49 million (Q1 2026), $167.5 million (Q4 2025) and $176.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.92 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 1.32 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 4.29 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.01 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 790.79 Mn |
| 10 | First Watch Restaurant | 640.58 Mn | 554.57 Mn | - | 177.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 177.89 Mn |
| Mar 29, 2026 | 177.49 Mn |
| Dec 28, 2025 | 167.50 Mn |
| Sep 28, 2025 | 176.77 Mn |
| Jun 29, 2025 | 158.33 Mn |
| Mar 30, 2025 | 141.85 Mn |
| Dec 29, 2024 | 138.47 Mn |
| Sep 29, 2024 | 134.02 Mn |
| Jun 30, 2024 | 118.83 Mn |
| Mar 31, 2024 | 106.48 Mn |
| Dec 31, 2023 | 115.07 Mn |
| Sep 24, 2023 | 110.05 Mn |
| Jun 25, 2023 | 109.16 Mn |
| Mar 26, 2023 | 91.66 Mn |
| Dec 25, 2022 | 99.98 Mn |
| Sep 25, 2022 | 92.54 Mn |
| Jun 26, 2022 | 92.88 Mn |
| Mar 27, 2022 | 83.25 Mn |
| Dec 26, 2021 | 96.52 Mn |
| Sep 26, 2021 | 85.02 Mn |
First Watch Restaurant Total Current 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-current-liabilities&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();