First Watch Restaurant (FWRG) Total Debt (2020 - 2026)
First Watch Restaurant (FWRG) posted Total Debt of $292.53 million for Q2 2026, up 11.7% from $261.82 million a year earlier and up 3.7% from the prior quarter.
First Watch Restaurant (FWRG) Total Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, First Watch Restaurant's Total Debt came in at $282.38 million, up 42.4% from FY2024.
- Annual Total Debt has increased for three consecutive years, though with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, First Watch Restaurant's Total Debt was $198.27 million in FY2024 (+58.1%), $125.4 million in FY2023 (+22.6%), $102.3 million in FY2022 (-2.9%) and $105.34 million in FY2021 (-63.7%).
- The Q2 2026 figure stands as the highest quarterly Total Debt in data going back to Q4 2020.
- On a year-over-year basis, Total Debt has increased in each of the last 11 quarters, with growth averaging 47.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q3 2024, with growth of 101.8%; the weakest was Q3 2022, with a decline of 65.1%.
- According to Business Quant data, Total Debt for the three prior quarters was $282.1 million (Q1 2026), $282.38 million (Q4 2025) and $264.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 13.28 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 12.28 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 13.29 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 693.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.29 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 66.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 50.00 Mn |
| 10 | First Watch Restaurant | 640.58 Mn | 554.57 Mn | - | 292.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 292.53 Mn |
| Mar 29, 2026 | 282.10 Mn |
| Dec 28, 2025 | 282.38 Mn |
| Sep 28, 2025 | 264.11 Mn |
| Jun 29, 2025 | 261.82 Mn |
| Mar 30, 2025 | 201.81 Mn |
| Dec 29, 2024 | 198.27 Mn |
| Sep 29, 2024 | 197.48 Mn |
| Jun 30, 2024 | 198.72 Mn |
| Mar 31, 2024 | 125.74 Mn |
| Dec 31, 2023 | 125.40 Mn |
| Sep 24, 2023 | 97.84 Mn |
| Jun 25, 2023 | 99.40 Mn |
| Mar 26, 2023 | 99.90 Mn |
| Dec 25, 2022 | 102.30 Mn |
| Sep 25, 2022 | 101.54 Mn |
| Jun 26, 2022 | 102.10 Mn |
| Mar 27, 2022 | 103.54 Mn |
| Dec 26, 2021 | 105.34 Mn |
| Sep 26, 2021 | 291.29 Mn |
First Watch Restaurant Total Debt 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-debt&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();