Noodles (NDLS) Operating Leases (2019 - 2026)
Noodles' Operating Leases was $112.05 million in Q2 2026, down 20.0% from $140.06 million a year earlier and down 3.3% from the prior quarter.
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Analysis
Noodles (NDLS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Noodles came in at $126.92 million, down 19.0% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- In earlier years, Operating Leases was $156.72 million in FY2024 (-15.9%), $186.29 million in FY2023 and $200.24 million in FY2021 (-4.9%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases has declined for seven straight quarters, with an average decline of 19.3% over the last seven quarters.
- Across the past five years, year-over-year decline in Operating Leases ran from 4.9% in Q4 2021 to 23.5% in Q1 2026.
- Per Business Quant data, NDLS's Operating Leases in the three quarters before Q2 2026 was $115.86 million (Q1 2026), $126.92 million (Q4 2025) and $130.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.05 Mn |
| Mar 31, 2026 | 115.86 Mn |
| Dec 30, 2025 | 126.92 Mn |
| Sep 30, 2025 | 130.87 Mn |
| Jul 1, 2025 | 140.06 Mn |
| Apr 1, 2025 | 151.44 Mn |
| Dec 31, 2024 | 156.72 Mn |
| Oct 1, 2024 | 167.02 Mn |
| Jul 2, 2024 | 174.63 Mn |
| Apr 2, 2024 | 178.55 Mn |
| Jan 2, 2024 | 186.29 Mn |
| Oct 3, 2023 | 189.98 Mn |
| Jul 4, 2023 | 186.90 Mn |
| Apr 4, 2023 | 186.59 Mn |
| Jan 3, 2023 | 187.32 Mn |
| Sep 27, 2022 | 195.97 Mn |
| Jun 28, 2022 | 194.20 Mn |
| Mar 29, 2022 | 196.92 Mn |
| Dec 28, 2021 | 200.24 Mn |
| Sep 28, 2021 | 203.59 Mn |
API Access
Noodles Operating Leases 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=operating-leases&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();