Noodles (NDLS) Accumulated Expenses (2013 - 2026)
Noodles' Accumulated Expenses came in at $10.46 million for Q2 2026, down 10.5% from $11.68 million a year earlier and down 3.3% from the prior quarter.
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Analysis
Noodles (NDLS) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Accumulated Expenses was $11.81 million, down 8.0% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $12.84 million in FY2024 (-0.9%), $12.95 million in FY2023 and $13.79 million in FY2021 (+18.6%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q1 2020.
- Year-over-year, Accumulated Expenses has declined for seven consecutive quarters, with an average decline of 8.8% over the last seven quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 18.6%), and the weakest in Q2 2025 (a decline of 15.6%).
- Business Quant data shows NDLS's Accumulated Expenses at $10.81 million (Q1 2026), $11.81 million (Q4 2025) and $11.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.46 Mn |
| Mar 31, 2026 | 10.81 Mn |
| Dec 30, 2025 | 11.81 Mn |
| Sep 30, 2025 | 11.99 Mn |
| Jul 1, 2025 | 11.68 Mn |
| Apr 1, 2025 | 11.63 Mn |
| Dec 31, 2024 | 12.84 Mn |
| Oct 1, 2024 | 13.27 Mn |
| Jul 2, 2024 | 13.84 Mn |
| Apr 2, 2024 | 12.93 Mn |
| Jan 2, 2024 | 12.95 Mn |
| Oct 3, 2023 | 12.06 Mn |
| Jul 4, 2023 | 12.31 Mn |
| Apr 4, 2023 | 11.23 Mn |
| Jan 3, 2023 | 11.01 Mn |
| Sep 27, 2022 | 11.54 Mn |
| Jun 28, 2022 | 12.40 Mn |
| Mar 29, 2022 | 12.21 Mn |
| Dec 28, 2021 | 13.79 Mn |
| Sep 28, 2021 | 12.44 Mn |
API Access
Noodles Accumulated 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=accumulated-expenses&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();