Arcos Dorados Holdings (ARCO) Cash & Equivalents (2009 - 2026)
Arcos Dorados Holdings (ARCO) recorded Cash & Equivalents of $259.99 million in Q2 2026, up 76.8% from $147.05 million a year earlier and up 1.7% from the prior quarter.
Arcos Dorados Holdings (ARCO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Arcos Dorados Holdings reported Cash & Equivalents of $373.44 million, up 176.5% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $135.06 million in FY2024 (-49.4%), $266.94 million in FY2023 (-4.3%), $278.83 million in FY2022 (unchanged) and $278.83 million in FY2021 (+68.0%).
- Quarterly Cash & Equivalents has ranged from $135.06 million in Q4 2024 to $404.61 million in Q1 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with growth averaging 26.8%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 176.5% in Q4 2025, against a decline of 49.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $255.63 million (Q1 2026), $373.44 million (Q4 2025) and $182.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 202.43 Mn |
| 10 | Arcos Dorados Holdings | 1.46 Bn | 242.01 Mn | - | 259.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 259.99 Mn |
| Mar 31, 2026 | 255.63 Mn |
| Dec 31, 2025 | 373.44 Mn |
| Sep 30, 2025 | 182.80 Mn |
| Jun 30, 2025 | 147.05 Mn |
| Mar 31, 2025 | 404.61 Mn |
| Dec 31, 2024 | 135.06 Mn |
| Sep 30, 2024 | 196.66 Mn |
| Jun 30, 2024 | 196.66 Mn |
| Mar 31, 2024 | 196.66 Mn |
| Dec 31, 2023 | 266.94 Mn |
| Sep 30, 2023 | 266.94 Mn |
| Jun 30, 2023 | 266.94 Mn |
| Mar 31, 2023 | 266.94 Mn |
| Dec 31, 2022 | 278.83 Mn |
| Sep 30, 2022 | 290.18 Mn |
| Jun 30, 2022 | 278.83 Mn |
| Mar 31, 2022 | 278.83 Mn |
| Dec 31, 2021 | 165.99 Mn |
| Sep 30, 2021 | 206.90 Mn |
Arcos Dorados Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=ARCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ARCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();