Noodles (NDLS) Change in Accrued Expenses (2012 - 2026)
Noodles (NDLS) recorded Change in Accured Expenses of -$2.61 million in Q2 2026, compared with -$5.09 million a year earlier.
Noodles (NDLS) Change in Accrued Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Noodles' Change in Accured Expenses came in at -$1.99 million as of Jun 30, 2026; for FY2025, it was -$3.55 million.
- Across earlier years, Change in Accured Expenses came in at -$633,000 in FY2024, $758,000 in FY2023 and $951,000 in FY2021 (-50.2%).
- Quarterly Change in Accured Expenses has ranged from -$5.09 million in Q2 2025 to $7.44 million in Q4 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.55 million (Q1 2026), -$3.28 million (Q4 2025) and $2.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 13.30 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 65.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 129.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 129.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | -18.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | -10.77 Mn |
| 10 | Noodles | 82.94 Mn | 74.23 Mn | 90.30 Mn | -1.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.06 Mn |
| Mar 31, 2026 | 1.55 Mn |
| Dec 30, 2025 | -3.28 Mn |
| Sep 30, 2025 | -265,000.00 |
| Jul 1, 2025 | -2.62 Mn |
| Apr 1, 2025 | 2.48 Mn |
| Dec 31, 2024 | -4.08 Mn |
| Oct 1, 2024 | 2.30 Mn |
| Jul 2, 2024 | -2.14 Mn |
| Apr 2, 2024 | 3.29 Mn |
| Jan 2, 2024 | 7.44 Mn |
| Apr 4, 2023 | 3.08 Mn |
| Sep 27, 2022 | -6.68 Mn |
| Jun 28, 2022 | -2.36 Mn |
| Mar 29, 2022 | -6.01 Mn |
| Dec 28, 2021 | 970,000.00 |
| Sep 28, 2021 | -19,000.00 |
| Jun 29, 2021 | 5.85 Mn |
| Mar 30, 2021 | -2.87 Mn |
| Dec 29, 2020 | 2.77 Mn |
Noodles Change in Accrued 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=change-in-accured-expenses&ticker=NDLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();