EchoStar (ECHO) Change in Accured Expenses (2017 - 2023)
EchoStar's (ECHO) quarterly Change in Accured Expenses came in at $267.6 million in Q4 2023, up 438.84% year-over-year from $49.7 million in Q4 2022, and up 6952.73% quarter-over-quarter from -$3.9 million in Q3 2023.
EchoStar (ECHO) Change in Accured Expenses (2017 - 2023) Analysis & Trends
EchoStar has disclosed Change in Accured Expenses across 7 years of filings, most recently posting $267.6 million for Q4 2023.
- In Q4 2023, Change in Accured Expenses rose 438.84% year-over-year to $267.6 million; the TTM figure through Dec 2023 stood at $267.1 million (up 352.04% YoY), while the FY2025 annual figure was -$319.7 million, down 17.03% from the prior year.
- Change in Accured Expenses came in at $267.6 million for Q4 2023 at EchoStar, up from -$3.9 million in the prior quarter.
- In the past five years, Change in Accured Expenses ranged from a high of $267.6 million in Q4 2023 to a low of -$104.1 million in Q3 2021.
- Average Change in Accured Expenses over 5 years is $11.5 million, with a median of $6.6 million recorded in 2019.
- Year-over-year, Change in Accured Expenses jumped 628.14% in 2019 and sank 5044.32% in 2021.
- Over 5 years, Change in Accured Expenses stood at $38.4 million in 2019, then tumbled by 64.39% to $13.7 million in 2020, then soared by 354.85% to $62.2 million in 2021, then sank by 227.04% to -$79.0 million in 2022, then surged by 438.84% to $267.6 million in 2023.
- Per Business Quant data, the three most recent Change in Accured Expenses figures were $267.6 million in Q4 2023, -$3.9 million in Q3 2023, and $31.7 million in Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | -265.00 Mn |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn | 205.00 Mn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn | - |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - | -161.00 Mn |
| 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 | 21.50 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 | 267.60 Mn |
| Sep 30, 2023 | -3.91 Mn |
| Jun 30, 2023 | 31.67 Mn |
| Mar 31, 2023 | -28.26 Mn |
| Dec 31, 2022 | -78.98 Mn |
| Sep 30, 2022 | -16.89 Mn |
| Jun 30, 2022 | 16.91 Mn |
| Mar 31, 2022 | -27.03 Mn |
| Dec 31, 2021 | 62.16 Mn |
| Sep 30, 2021 | -104.08 Mn |
| Jun 30, 2021 | 28.07 Mn |
| Mar 31, 2021 | -27.45 Mn |
| Dec 31, 2020 | 13.67 Mn |
| Sep 30, 2020 | 2.11 Mn |
| Jun 30, 2020 | 31.97 Mn |
| Mar 31, 2020 | -4.92 Mn |
| Dec 31, 2019 | 38.38 Mn |
| Sep 30, 2019 | 11.17 Mn |
| Jun 30, 2019 | 26.71 Mn |
| Mar 31, 2019 | -9.91 Mn |
EchoStar Change in Accured Expenses 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-accured-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=ECHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();