Noodles (NDLS) Capital Expenditures (2013 - 2026)
Noodles' Capital Expenditures was $1.51 million in Q2 2026, down 55.6% from $3.4 million a year earlier and down 27.3% from the prior quarter.
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Analysis
Noodles (NDLS) Capital Expenditures (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Noodles' Capital Expenditures was $9.66 million through Jun 30, 2026, down 44.0% year-over-year; for FY2025, it came in at $12.4 million, down 56.9% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $28.77 million in FY2024 (-44.7%), $52.04 million in FY2023 and $18.78 million in FY2021 (+59.4%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q4 2018.
- Compared with a year earlier, Capital Expenditures has declined for seven straight quarters, with an average decline of 55.3% over the last seven quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2021 (growth of 206.6%); the worst was Q4 2024 (a decline of 87.1%).
- Per Business Quant data, NDLS's Capital Expenditures in the three quarters before Q2 2026 was $2.08 million (Q1 2026), $2.34 million (Q4 2025) and $3.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 831.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 291.40 Mn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 217.27 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 100.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 51.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 193.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 51.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 127.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 98.68 Mn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 1.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 Mn |
| Mar 31, 2026 | 2.08 Mn |
| Dec 30, 2025 | 2.34 Mn |
| Sep 30, 2025 | 3.74 Mn |
| Jul 1, 2025 | 3.40 Mn |
| Apr 1, 2025 | 2.92 Mn |
| Dec 31, 2024 | 3.79 Mn |
| Oct 1, 2024 | 7.15 Mn |
| Jul 2, 2024 | 9.18 Mn |
| Apr 2, 2024 | 8.65 Mn |
| Jan 2, 2024 | 29.49 Mn |
| Apr 4, 2023 | 10.44 Mn |
| Sep 27, 2022 | 5.83 Mn |
| Jun 28, 2022 | 8.31 Mn |
| Mar 29, 2022 | 8.41 Mn |
| Dec 28, 2021 | 5.81 Mn |
| Sep 28, 2021 | 5.49 Mn |
| Jun 29, 2021 | 4.74 Mn |
| Mar 30, 2021 | 2.73 Mn |
| Dec 29, 2020 | 1.90 Mn |
API Access
Noodles Capital Expenditures 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=capital-expenditures&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();