Noodles (NDLS) Asset Writedowns and Impairment (2014 - 2026)
Noodles (NDLS) recorded Asset Writedowns and Impairment of $4.32 million in Q2 2026, down 66.4% from $12.85 million a year earlier but up 223.1% from the prior quarter.
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Analysis
Noodles (NDLS) Asset Writedowns and Impairment (2014 - 2026) Analysis & Trends
On a TTM basis, Noodles' Asset Writedowns and Impairment came in at $14.71 million as of Jun 30, 2026, down 12.0% year-over-year; for FY2025, it came in at $22.16 million, up 53.9% from FY2024.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of 35.9% (FY2020 to FY2025).
- Across earlier years, Asset Writedowns and Impairment came in at $14.4 million in FY2024 (+261.8%), $3.98 million in FY2023 and $3.54 million in FY2021 (-26.0%).
- Quarterly Asset Writedowns and Impairment has ranged from $257,000 in Q1 2025 to $12.85 million in Q2 2025 over the past five years.
- On a year-over-year basis, Asset Writedowns and Impairment rose in five of the last seven quarters, with growth averaging 163.5%.
- Peak year-over-year performance for Asset Writedowns and Impairment in the last five years was growth of 717.8% in Q3 2025, against a decline of 66.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.34 million (Q1 2026), $4.46 million (Q4 2025) and $4.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Noodles | 79.95 Mn | 71.25 Mn | 90.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.32 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 30, 2025 | 4.46 Mn |
| Sep 30, 2025 | 4.60 Mn |
| Jul 1, 2025 | 12.85 Mn |
| Apr 1, 2025 | 257,000.00 |
| Dec 31, 2024 | 3.05 Mn |
| Oct 1, 2024 | 562,000.00 |
| Jul 2, 2024 | 10.43 Mn |
| Apr 2, 2024 | 363,000.00 |
| Jan 2, 2024 | 2.29 Mn |
| Apr 4, 2023 | 398,000.00 |
| Sep 27, 2022 | 325,000.00 |
| Jun 28, 2022 | 867,000.00 |
| Mar 29, 2022 | 496,000.00 |
| Dec 28, 2021 | 2.10 Mn |
| Sep 28, 2021 | 543,000.00 |
| Jun 29, 2021 | 280,000.00 |
| Mar 30, 2021 | 618,000.00 |
| Dec 29, 2020 | 1.75 Mn |
API Access
Noodles Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();