First Watch Restaurant (FWRG) Long-Term Debt Repayments (2020 - 2026)
First Watch Restaurant's Long-Term Debt Repayments came in at $198 million for Q2 2026, up 123.7% from $88.5 million a year earlier and up 13.8% from the prior quarter.
First Watch Restaurant (FWRG) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, First Watch Restaurant reported Long-Term Debt Repayments of $668 million, up 608.8% year-over-year; for FY2025, it came in at $387.5 million, up 300.3% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 58.3% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $96.79 million in FY2024, $6.18 million in FY2023 (+115.6%), $2.87 million in FY2022 (-99.0%) and $291.6 million in FY2021 (+647.7%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q4 2021.
- Year-over-year, Long-Term Debt Repayments increased in 1 of the last four quarters, with an average decline of 5.7%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2024 (growth of 994.5%), and the weakest in Q4 2022 (a decline of 99.6%).
- Business Quant data shows FWRG's Long-Term Debt Repayments at $174 million (Q1 2026), $161 million (Q4 2025) and $135 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 177.96 Bn | 172.78 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 115.89 Bn | 103.51 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 42.08 Bn | 38.96 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 35.80 Bn | 31.78 Bn | - | - |
| 5 | Restaurant Brands International | 26.36 Bn | 21.91 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 15.49 Bn | 9.15 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.01 Bn | 10.35 Bn | - | - |
| 10 | First Watch Restaurant | 703.65 Mn | 617.64 Mn | - | 201.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 201.21 Mn |
| Mar 29, 2026 | 177.19 Mn |
| Dec 28, 2025 | 162.83 Mn |
| Sep 28, 2025 | 137.92 Mn |
| Jun 29, 2025 | 91.29 Mn |
| Mar 30, 2025 | 4.37 Mn |
| Dec 29, 2024 | 1.39 Mn |
| Sep 29, 2024 | 1.36 Mn |
| Jun 30, 2024 | 23.89 Mn |
| Mar 31, 2024 | 122.66 Mn |
| Dec 31, 2023 | 2.66 Mn |
| Sep 24, 2023 | 1.73 Mn |
| Jun 25, 2023 | 643,000.00 |
| Mar 26, 2023 | 2.52 Mn |
| Dec 25, 2022 | 3.62 Mn |
| Sep 25, 2022 | 133,000.00 |
| Jun 26, 2022 | 751,000.00 |
| Mar 27, 2022 | 751,000.00 |
| Dec 26, 2021 | 289.54 Mn |
| Sep 26, 2021 | 864,000.00 |
First Watch Restaurant Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();