Arcos Dorados Holdings (ARCO) Non-Current Debt (2009 - 2026)
Arcos Dorados Holdings' Non-Current Debt came in at -$169.51 million for FY2017, compared with $167.26 million in FY2016.
Analysis
Arcos Dorados Holdings (ARCO) Non-Current Debt (2009 - 2026) Analysis & Trends
- Per Business Quant, earlier years put Non-Current Debt at $167.26 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 173.70 Bn | 168.53 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 112.75 Bn | 100.37 Bn | - | 11.78 Bn |
| 3 | Yum Brands | 41.25 Bn | 38.14 Bn | 1.47 Bn | 9.46 Bn |
| 4 | Chipotle Mexican Grill | 36.55 Bn | 32.53 Bn | - | - |
| 5 | Restaurant Brands International | 26.08 Bn | 21.63 Bn | 1.38 Bn | 13.21 Bn |
| 6 | Darden Restaurants | 24.62 Bn | 23.72 Bn | 1.68 Bn | -5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.21 Bn |
| 8 | Yum China Holdings | 15.54 Bn | 9.20 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.01 Bn | 10.35 Bn | - | 50.00 Mn |
| 10 | Arcos Dorados Holdings | 1.72 Bn | 504.69 Mn | 1.28 Bn | 951.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 951.59 Mn |
| Mar 31, 2026 | 969.29 Mn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 985.21 Mn |
| Jun 30, 2025 | 944.46 Mn |
| Mar 31, 2025 | 930.91 Mn |
| Dec 31, 2024 | 715.97 Mn |
| Sep 30, 2024 | 717.10 Mn |
| Jun 30, 2024 | 713.70 Mn |
| Mar 31, 2024 | 713.13 Mn |
| Dec 31, 2023 | 713.04 Mn |
| Sep 30, 2023 | 712.59 Mn |
| Jun 30, 2023 | 712.73 Mn |
| Mar 31, 2023 | 708.97 Mn |
| Dec 31, 2022 | 711.67 Mn |
| Sep 30, 2022 | 723.55 Mn |
| Jun 30, 2022 | 747.96 Mn |
| Mar 31, 2022 | 739.98 Mn |
| Dec 31, 2021 | 739.22 Mn |
| Sep 30, 2021 | 760.63 Mn |
API Access
Arcos Dorados Holdings Non-Current Debt 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=non-current-debt&ticker=ARCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ARCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();