Noodles (NDLS) Interest Expenses (2012 - 2026)
Noodles' Interest Expenses was $2.39 million in Q2 2026, down 13.1% from $2.75 million a year earlier and down 8.0% from the prior quarter.
Noodles (NDLS) Interest Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Noodles' Interest Expenses was $10.5 million through Jun 30, 2026, up 7.1% year-over-year; for FY2025, it was $10.92 million, up 30.2% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $8.38 million in FY2024 (+74.5%), $4.8 million in FY2023 and $2.08 million in FY2021 (-33.8%).
- The Q2 2026 figure marks the lowest quarterly Interest Expenses since Q4 2024.
- Compared with a year earlier, Interest Expenses was higher in four of the last seven quarters, with growth averaging 11.7%.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2025 (growth of 37.9%); the worst was Q3 2021 (a decline of 27.7%).
- Per Business Quant data, NDLS's Interest Expenses in the three quarters before Q2 2026 was $2.6 million (Q1 2026), $2.69 million (Q4 2025) and $2.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 134.60 Mn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 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 | 14.08 Bn | 8.44 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | - |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 2.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Mn |
| Mar 31, 2026 | 2.60 Mn |
| Dec 30, 2025 | 2.69 Mn |
| Sep 30, 2025 | 2.83 Mn |
| Jul 1, 2025 | 2.75 Mn |
| Apr 1, 2025 | 2.65 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Oct 1, 2024 | 2.08 Mn |
| Jul 2, 2024 | 2.00 Mn |
| Apr 2, 2024 | 1.98 Mn |
| Jan 2, 2024 | 3.14 Mn |
| Oct 3, 2023 | 1.19 Mn |
| Jul 4, 2023 | 1.05 Mn |
| Apr 4, 2023 | 961,000.00 |
| Sep 27, 2022 | 735,000.00 |
| Jun 28, 2022 | 489,000.00 |
| Mar 29, 2022 | 437,000.00 |
| Dec 28, 2021 | 368,000.00 |
| Sep 28, 2021 | 594,000.00 |
| Jun 29, 2021 | 498,000.00 |
Noodles 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=NDLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "NDLS", "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=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();