First Watch Restaurant (FWRG) Interest Expenses (2020 - 2026)
First Watch Restaurant's Interest Expenses was $4.89 million in Q2 2026, up 22.2% from $4 million a year earlier and up 2.4% from the prior quarter.
First Watch Restaurant (FWRG) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Watch Restaurant's Interest Expenses was $19.03 million through Jun 28, 2026, up 36.0% year-over-year; for FY2025, it was $16.7 million, up 32.1% from FY2024.
- Interest Expenses has now increased for three consecutive years, though with a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $12.64 million in FY2024 (+56.8%), $8.06 million in FY2023 (+54.1%), $5.23 million in FY2022 (-74.0%) and $20.1 million in FY2021 (-11.9%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses since Q3 2021.
- Compared with a year earlier, Interest Expenses has increased for 15 straight quarters, with growth averaging 40.2% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 89.6%); the worst was Q1 2022 (a decline of 84.1%).
- Per Business Quant data, FWRG's Interest Expenses in the three quarters before Q2 2026 was $4.78 million (Q1 2026), $4.8 million (Q4 2025) and $4.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 134.60 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 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 | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | First Watch Restaurant | 627.62 Mn | 541.61 Mn | - | 4.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.89 Mn |
| Mar 29, 2026 | 4.78 Mn |
| Dec 28, 2025 | 4.80 Mn |
| Sep 28, 2025 | 4.57 Mn |
| Jun 29, 2025 | 4.00 Mn |
| Mar 30, 2025 | 3.33 Mn |
| Dec 29, 2024 | 3.22 Mn |
| Sep 29, 2024 | 3.44 Mn |
| Jun 30, 2024 | 3.38 Mn |
| Mar 31, 2024 | 2.60 Mn |
| Dec 31, 2023 | 2.27 Mn |
| Sep 24, 2023 | 1.85 Mn |
| Jun 25, 2023 | 2.04 Mn |
| Mar 26, 2023 | 1.91 Mn |
| Dec 25, 2022 | 1.74 Mn |
| Sep 25, 2022 | 1.36 Mn |
| Jun 26, 2022 | 1.13 Mn |
| Mar 27, 2022 | 1.01 Mn |
| Dec 26, 2021 | 1.44 Mn |
| Sep 26, 2021 | 6.05 Mn |
First Watch Restaurant Interest Expenses 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=interest-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=FWRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();