Arcos Dorados Holdings (ARCO) Receivables (2010 - 2026)
Arcos Dorados Holdings' Receivables was $265.06 million in Q2 2026, up 31.8% from $201.15 million a year earlier and up 9.7% from the prior quarter.
Powered by 
Analysis
Arcos Dorados Holdings (ARCO) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Arcos Dorados Holdings came in at $248.96 million, up 53.8% from FY2024.
- Receivables shows a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- In earlier years, Receivables was $161.91 million in FY2024 (-13.3%), $186.7 million in FY2023 (+23.6%), $151.06 million in FY2022 (+45.0%) and $104.21 million in FY2021 (-9.2%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2010.
- Compared with a year earlier, Receivables has increased for six straight quarters, with growth averaging 22.2% over the last seven quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2025 (growth of 53.8%); the worst was Q4 2021 (a decline of 9.2%).
- Per Business Quant data, ARCO's Receivables in the three quarters before Q2 2026 was $241.66 million (Q1 2026), $248.96 million (Q4 2025) and $222.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 74.14 Mn |
| 10 | Arcos Dorados Holdings | 1.50 Bn | 284.14 Mn | - | 265.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.06 Mn |
| Mar 31, 2026 | 241.66 Mn |
| Dec 31, 2025 | 248.96 Mn |
| Sep 30, 2025 | 222.13 Mn |
| Jun 30, 2025 | 201.15 Mn |
| Mar 31, 2025 | 190.54 Mn |
| Dec 31, 2024 | 161.91 Mn |
| Sep 30, 2024 | 177.07 Mn |
| Jun 30, 2024 | 182.05 Mn |
| Mar 31, 2024 | 190.03 Mn |
| Dec 31, 2023 | -61.24 Mn |
| Sep 30, 2023 | 165.32 Mn |
| Jun 30, 2023 | 156.61 Mn |
| Mar 31, 2023 | 144.67 Mn |
| Dec 31, 2022 | 151.06 Mn |
| Sep 30, 2022 | 115.09 Mn |
| Jun 30, 2022 | 110.10 Mn |
| Mar 31, 2022 | 113.34 Mn |
| Dec 31, 2021 | 104.21 Mn |
| Sep 30, 2021 | 96.07 Mn |
API Access
Arcos Dorados Holdings Receivables 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=receivables&ticker=ARCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ARCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();