Arcos Dorados Holdings (ARCO) Goodwill & Intangibles (2010 - 2026)
Arcos Dorados Holdings' Goodwill & Intangibles was $157.32 million in Q2 2026, up 9.1% from $144.14 million a year earlier but down 0.8% from the prior quarter.
Arcos Dorados Holdings (ARCO) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Arcos Dorados Holdings came in at $148.95 million, up 123.5% from FY2024.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 32.1% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $66.64 million in FY2024 (-4.8%), $70.03 million in FY2023 (+28.3%), $54.57 million in FY2022 (+40.6%) and $38.81 million in FY2021 (+4.8%).
- Quarterly Goodwill & Intangibles has moved between $36.46 million (Q3 2021) and $158.65 million (Q1 2026) over five years.
- Compared with a year earlier, Goodwill & Intangibles has increased for six straight quarters, with growth averaging 59.9% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q4 2025 (growth of 123.5%); the worst was Q4 2024 (a decline of 4.8%).
- Per Business Quant data, ARCO's Goodwill & Intangibles in the three quarters before Q2 2026 was $158.65 million (Q1 2026), $148.95 million (Q4 2025) and $145.82 million (Q3 2025).
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 | Arcos Dorados Holdings | 1.50 Bn | 284.14 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.32 Mn |
| Mar 31, 2026 | 158.65 Mn |
| Dec 31, 2025 | 148.95 Mn |
| Sep 30, 2025 | 145.82 Mn |
| Jun 30, 2025 | 144.14 Mn |
| Mar 31, 2025 | 133.82 Mn |
| Dec 31, 2024 | 66.64 Mn |
| Sep 30, 2024 | 67.94 Mn |
| Jun 30, 2024 | 66.93 Mn |
| Mar 31, 2024 | 71.07 Mn |
| Dec 31, 2023 | 70.03 Mn |
| Sep 30, 2023 | 59.11 Mn |
| Jun 30, 2023 | 65.71 Mn |
| Mar 31, 2023 | 60.98 Mn |
| Dec 31, 2022 | 54.57 Mn |
| Sep 30, 2022 | 44.69 Mn |
| Jun 30, 2022 | 42.94 Mn |
| Mar 31, 2022 | 42.09 Mn |
| Dec 31, 2021 | 38.81 Mn |
| Sep 30, 2021 | 36.46 Mn |
Arcos Dorados Holdings 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=ARCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "ARCO", "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=ARCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();