EchoStar (ECHO) Change in Receivables (2017 - 2023)
EchoStar's (ECHO) quarterly Change in Receivables came in at -$58.3 million in Q4 2023, down 618.61% year-over-year from $11.2 million in Q4 2022, and down 2868.91% quarter-over-quarter from -$2.0 million in Q3 2023.
EchoStar (ECHO) Change in Receivables (2017 - 2023) Analysis & Trends
EchoStar has disclosed Change in Receivables across 7 years of filings, most recently posting -$58.3 million for Q4 2023.
- In Q4 2023, Change in Receivables fell 618.61% year-over-year to -$58.3 million; the TTM figure through Dec 2023 stood at -$61.3 million (down 181.91% YoY), while the FY2025 annual figure was $28.5 million, up 398.32% from the prior year.
- Change in Receivables came in at -$58.3 million for Q4 2023 at EchoStar, down from -$2.0 million in the prior quarter.
- In the past five years, Change in Receivables ranged from a high of $30.8 million in Q2 2022 to a low of -$227.9 million in Q4 2021.
- Average Change in Receivables over 5 years is -$10.2 million, with a median of $4.8 million recorded in 2019.
- Year-over-year, Change in Receivables plunged 1900.08% in 2021 and soared 1229.12% in 2022.
- Over 5 years, Change in Receivables stood at -$13.7 million in 2019, then advanced by 17.0% to -$11.4 million in 2020, then sank by 1900.08% to -$227.9 million in 2021, then jumped by 104.94% to $11.2 million in 2022, then tumbled by 618.61% to -$58.3 million in 2023.
- Per Business Quant data, the three most recent Change in Receivables figures were -$58.3 million in Q4 2023, -$2.0 million in Q3 2023, and -$15.0 million in Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 195.65 Bn | 160.05 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 177.81 Bn | 162.55 Bn | 14.76 Bn | 498.00 Mn |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn | 299.00 Mn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn | - |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - | - |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn | - |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn | 51.84 Mn |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - | - |
| 10 | Telefonica Brasil | 18.53 Bn | 12.53 Bn | 1.42 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -58.34 Mn |
| Sep 30, 2023 | -1.97 Mn |
| Jun 30, 2023 | -15.02 Mn |
| Mar 31, 2023 | 14.04 Mn |
| Dec 31, 2022 | 11.25 Mn |
| Sep 30, 2022 | 24.29 Mn |
| Jun 30, 2022 | 30.79 Mn |
| Mar 31, 2022 | 8.48 Mn |
| Dec 31, 2021 | -227.89 Mn |
| Sep 30, 2021 | 17.53 Mn |
| Jun 30, 2021 | -2.73 Mn |
| Mar 31, 2021 | 6.09 Mn |
| Dec 31, 2020 | -11.39 Mn |
| Sep 30, 2020 | 3.90 Mn |
| Jun 30, 2020 | -2.40 Mn |
| Mar 31, 2020 | 7.66 Mn |
| Dec 31, 2019 | -13.73 Mn |
| Sep 30, 2019 | 5.61 Mn |
| Jun 30, 2019 | -19.40 Mn |
| Mar 31, 2019 | 19.23 Mn |
EchoStar Change in 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=change-in-receivables&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "ECHO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-receivables&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();