Arcos Dorados Holdings (ARCO) Operating Leases (2018 - 2026)
Arcos Dorados Holdings (ARCO) posted Operating Leases of $119.7 million for Q2 2026, up 20.0% from $99.78 million a year earlier and up 9.3% from the prior quarter.
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Analysis
Arcos Dorados Holdings (ARCO) Operating Leases (2018 - 2026) Analysis & Trends
At the end of FY2025, Arcos Dorados Holdings' Operating Leases came in at $106.84 million, up 15.8% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior years, Arcos Dorados Holdings' Operating Leases was $92.28 million in FY2024 (-1.3%), $93.51 million in FY2023 (+12.8%), $82.91 million in FY2022 (+4.8%) and $79.12 million in FY2021 (+39.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Leases since Q2 2020.
- On a year-over-year basis, Operating Leases has increased in each of the last six quarters, with growth averaging 8.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2022, with growth of 51.8%; the weakest was Q4 2024, with a decline of 1.3%.
- According to Business Quant data, Operating Leases for the three prior quarters was $109.48 million (Q1 2026), $106.84 million (Q4 2025) and $100.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - |
| 10 | Arcos Dorados Holdings | 1.71 Bn | 492.05 Mn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.70 Mn |
| Mar 31, 2026 | 109.48 Mn |
| Dec 31, 2025 | 1.00 Bn |
| Sep 30, 2025 | 100.68 Mn |
| Jun 30, 2025 | 99.78 Mn |
| Mar 31, 2025 | 95.28 Mn |
| Dec 31, 2024 | 849.16 Mn |
| Sep 30, 2024 | 96.03 Mn |
| Jun 30, 2024 | 93.12 Mn |
| Mar 31, 2024 | 93.15 Mn |
| Dec 31, 2023 | 853.11 Mn |
| Sep 30, 2023 | 89.74 Mn |
| Jun 30, 2023 | 89.63 Mn |
| Mar 31, 2023 | 87.00 Mn |
| Dec 31, 2022 | 747.67 Mn |
| Sep 30, 2022 | 77.97 Mn |
| Jun 30, 2022 | 79.20 Mn |
| Mar 31, 2022 | 83.85 Mn |
| Dec 31, 2021 | 707.12 Mn |
| Sep 30, 2021 | 55.14 Mn |
API Access
Arcos Dorados Holdings Operating Leases 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=operating-leases&ticker=ARCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ARCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();