Liberty Latin America (LILA) Receivables (2016 - 2026)
Liberty Latin America (LILA) posted Receivables of $788.8 million for Q2 2026, down 1.1% from $797.6 million a year earlier and down 0.5% from the prior quarter.
Liberty Latin America (LILA) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, Liberty Latin America's Receivables came in at $777.6 million, down 1.8% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Liberty Latin America's Receivables was $791.7 million in FY2024 (-0.6%), $796.3 million in FY2023 (+12.1%), $710.6 million in FY2022 (+17.5%) and $604.8 million in FY2021 (+7.9%).
- Quarterly Receivables has run from a low of $163.2 million in Q4 2021 to a high of $814.2 million in Q3 2024 over five years.
- On a year-over-year basis, Receivables increased in three of the last eight quarters, with growth averaging 30.9%.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2025, with growth of 247.5%; the weakest was Q4 2021, with a decline of 70.8%.
- According to Business Quant data, Receivables for the three prior quarters was $792.9 million (Q1 2026), $777.6 million (Q4 2025) and $809.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 182.00 Bn | 145.12 Bn | 27.03 Bn | 27.43 Bn |
| 2 | T-Mobile US | 166.59 Bn | 151.34 Bn | 14.76 Bn | 6.25 Bn |
| 3 | At&T | 152.55 Bn | 84.51 Bn | 25.82 Bn | 12.91 Bn |
| 4 | Grupo Televisa, S.A.B | 148.28 Bn | 140.01 Bn | 318.12 Mn | 368.28 Mn |
| 5 | Comcast | 78.71 Bn | 42.78 Bn | - | 13.96 Bn |
| 6 | Vodafone Group Public | 38.12 Bn | 7.51 Bn | - | 12.13 Bn |
| 7 | Chunghwa Telecom | 36.87 Bn | 28.88 Bn | 728.80 Mn | 1.09 Bn |
| 8 | EchoStar | 26.90 Bn | 17.99 Bn | 1.65 Bn | 905.61 Mn |
| 9 | Telefonica Brasil | 20.87 Bn | 14.89 Bn | 1.42 Bn | - |
| 10 | Liberty Latin America | 1.61 Bn | -1.17 Bn | 873.60 Mn | 788.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 788.80 Mn |
| Mar 31, 2026 | 792.90 Mn |
| Dec 31, 2025 | 777.60 Mn |
| Sep 30, 2025 | 809.30 Mn |
| Jun 30, 2025 | 797.60 Mn |
| Mar 31, 2025 | 779.70 Mn |
| Dec 31, 2024 | 223.80 Mn |
| Sep 30, 2024 | 814.20 Mn |
| Jun 30, 2024 | 811.80 Mn |
| Mar 31, 2024 | 813.40 Mn |
| Dec 31, 2023 | 229.20 Mn |
| Sep 30, 2023 | 755.70 Mn |
| Jun 30, 2023 | 746.80 Mn |
| Mar 31, 2023 | 725.20 Mn |
| Dec 31, 2022 | 188.30 Mn |
| Sep 30, 2022 | 590.40 Mn |
| Jun 30, 2022 | 610.80 Mn |
| Mar 31, 2022 | 548.60 Mn |
| Dec 31, 2021 | 163.20 Mn |
| Sep 30, 2021 | 527.50 Mn |
Liberty Latin America 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=LILA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "LILA", "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=LILA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();