Noodles (NDLS) Receivables (2013 - 2026)
Noodles' Receivables came in at $4.79 million for Q2 2026, up 27.1% from $3.77 million a year earlier and up 11.6% from the prior quarter.
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Analysis
Noodles (NDLS) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Receivables was $4.06 million, up 0.1% from FY2024.
- Receivables carries a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by year, Receivables was $4.06 million in FY2024 (-21.1%), $5.14 million in FY2023 and $3.96 million in FY2021 (+15.5%).
- The Q2 2026 figure represents the highest quarterly Receivables since Q4 2023.
- Year-over-year, Receivables has increased for three consecutive quarters, with an average year-over-year change of 0.0% over the last seven quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2026 (growth of 27.1%), and the weakest in Q4 2024 (a decline of 21.1%).
- Business Quant data shows NDLS's Receivables at $4.29 million (Q1 2026), $4.06 million (Q4 2025) and $4.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 74.14 Mn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 4.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.79 Mn |
| Mar 31, 2026 | 4.29 Mn |
| Dec 30, 2025 | 4.06 Mn |
| Sep 30, 2025 | 4.11 Mn |
| Jul 1, 2025 | 3.77 Mn |
| Apr 1, 2025 | 4.11 Mn |
| Dec 31, 2024 | 4.06 Mn |
| Oct 1, 2024 | 4.13 Mn |
| Jul 2, 2024 | 3.96 Mn |
| Apr 2, 2024 | 4.33 Mn |
| Jan 2, 2024 | 5.14 Mn |
| Oct 3, 2023 | 4.81 Mn |
| Jul 4, 2023 | 4.92 Mn |
| Apr 4, 2023 | 4.76 Mn |
| Jan 3, 2023 | 6.44 Mn |
| Sep 27, 2022 | 5.12 Mn |
| Jun 28, 2022 | 3.97 Mn |
| Mar 29, 2022 | 4.43 Mn |
| Dec 28, 2021 | 3.96 Mn |
| Sep 28, 2021 | 3.85 Mn |
API Access
Noodles Receivables 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=receivables&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();