Noodles (NDLS) Non Operating Interest Expenses (2012 - 2026)
Noodles (NDLS) reported Non Operating Interest Expenses of $2.39 million for Q2 2026, down 13.1% from $2.75 million a year earlier and down 8.0% from the prior quarter.
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Analysis
Noodles (NDLS) Non Operating Interest Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Noodles' Non Operating Interest Expenses came in at $10.5 million, up 7.1% year-over-year; for FY2025, it came in at $10.92 million, up 30.2% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $8.38 million in FY2024 (+74.5%), $4.8 million in FY2023 and $2.08 million in FY2021 (-33.8%).
- The Q2 2026 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q4 2024.
- Year over year, Non Operating Interest Expenses gained in four of the last seven quarters, with growth averaging 11.7%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2025 (growth of 37.9%); the low point was Q3 2021 (a decline of 27.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.6 million (Q1 2026), $2.69 million (Q4 2025) and $2.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | 2.39 Mn |
Historic Data
Download Data
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 |
API Access
Noodles Non Operating 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=non-operating-interest-expenses&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();