Cava (CAVA) Goodwill & Intangibles (2022 - 2026)
Cava's (CAVA) quarterly Goodwill & Intangibles came in at $3.7 million in Q3 2026, up 4.5% year-over-year from $3.5 million in Q3 2025, and down 0.73% quarter-over-quarter from $3.7 million in Q4 2025.
Cava (CAVA) Goodwill & Intangibles (2022 - 2026) Analysis & Trends
Cava has disclosed Goodwill & Intangibles across 5 years of filings, most recently posting $3.7 million for Q3 2026.
- In Q3 2026, Goodwill & Intangibles rose 4.5% year-over-year to $3.7 million; the TTM figure through Jul 2026 stood at $3.7 million (up 4.5% YoY), while the FY2025 annual figure was $3.7 million, up 12.85% from the prior year.
- Goodwill & Intangibles came in at $3.7 million for Q3 2026 at Cava, down from $3.7 million in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $3.7 million in Q4 2025 to a low of $1.9 million in Q3 2022.
- Average Goodwill & Intangibles over 5 years is $3.2 million, with a median of $3.3 million recorded in 2023.
- The largest YoY upside for Goodwill & Intangibles was 73.63% in 2023 against a maximum downside of 0.81% in 2023.
- Over 5 years, Goodwill & Intangibles stood at $3.3 million in 2022, then slipped by 0.81% to $3.3 million in 2023, then changed by 0.0% to $3.3 million in 2024, then climbed by 12.85% to $3.7 million in 2025, then decreased by 0.73% to $3.7 million in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $3.7 million in Q3 2026, $3.7 million in Q4 2025, and $3.7 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 3.70 Mn |
| Dec 28, 2025 | 3.72 Mn |
| Oct 5, 2025 | 3.74 Mn |
| Jul 13, 2025 | 3.54 Mn |
| Apr 20, 2025 | 3.52 Mn |
| Dec 29, 2024 | 3.30 Mn |
| Oct 6, 2024 | 3.30 Mn |
| Jul 14, 2024 | 3.30 Mn |
| Apr 21, 2024 | 3.30 Mn |
| Dec 31, 2023 | 3.30 Mn |
| Oct 1, 2023 | 3.30 Mn |
| Jul 9, 2023 | 3.30 Mn |
| Dec 25, 2022 | 3.33 Mn |
| Oct 2, 2022 | 1.90 Mn |
| Jul 10, 2022 | 1.90 Mn |
Cava Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "CAVA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();