Noodles (NDLS) Selling, General & Administrative (2012 - 2026)
Noodles (NDLS) reported Selling, General & Administrative of $13.86 million for Q2 2026, up 11.7% from $12.4 million a year earlier and up 10.7% from the prior quarter.
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Analysis
Noodles (NDLS) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Noodles' Selling, General & Administrative came in at $50.29 million, up 1.8% year-over-year; for FY2025, it was $49.14 million, down 3.3% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $50.82 million in FY2024 (-1.9%), $51.83 million in FY2023 and $47.54 million in FY2021 (+10.9%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2023.
- Year over year, Selling, General & Administrative gained in two of the last seven quarters, with an average decline of 4.4%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 12.6%); the low point was Q4 2024 (a decline of 27.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.51 million (Q1 2026), $11.65 million (Q4 2025) and $12.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 139.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 72.41 Mn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 13.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.86 Mn |
| Mar 31, 2026 | 12.51 Mn |
| Dec 30, 2025 | 11.65 Mn |
| Sep 30, 2025 | 12.27 Mn |
| Jul 1, 2025 | 12.40 Mn |
| Apr 1, 2025 | 12.81 Mn |
| Dec 31, 2024 | 11.32 Mn |
| Oct 1, 2024 | 12.89 Mn |
| Jul 2, 2024 | 13.57 Mn |
| Apr 2, 2024 | 13.04 Mn |
| Jan 2, 2024 | 15.65 Mn |
| Oct 3, 2023 | 11.86 Mn |
| Jul 4, 2023 | 12.46 Mn |
| Apr 4, 2023 | 13.64 Mn |
| Sep 27, 2022 | 11.60 Mn |
| Jun 28, 2022 | 12.74 Mn |
| Mar 29, 2022 | 11.84 Mn |
| Dec 28, 2021 | 11.44 Mn |
| Sep 28, 2021 | 12.19 Mn |
| Jun 29, 2021 | 12.98 Mn |
API Access
Noodles Selling, General & Administrative 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=selling-general-and-administrative&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();