Optimum Communications (OPTU) Interest Expenses (2016 - 2022)
Optimum Communications (OPTU) recorded Interest Expenses of $303.36 million in Q1 2022, down 4.1% from $316.31 million a year earlier and down 2.8% from the prior quarter.
Optimum Communications (OPTU) Interest Expenses (2016 - 2022) Analysis & Trends
On a TTM basis, Optimum Communications' Interest Expenses came in at $1.25 billion as of Mar 31, 2022, down 3.8% year-over-year; for FY2021, it was $1.27 billion, down 6.3% from FY2020.
- Annual Interest Expenses has declined for four straight years, with a five-year compound annual growth rate of -2.8% (FY2016 to FY2021).
- Across earlier years, Interest Expenses came in at $1.35 billion in FY2020 (-12.0%), $1.54 billion in FY2019 (-1.3%), $1.56 billion in FY2018 (-2.9%) and $1.6 billion in FY2017 (+10.1%).
- The Q1 2022 figure is the lowest quarterly Interest Expenses since Q1 2016.
- On a year-over-year basis, Interest Expenses has declined for 12 consecutive quarters, with an average decline of 8.8% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 7.7% in Q4 2018, against a decline of 17.1% in Q4 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $311.94 million (Q4 2021), $319.03 million (Q3 2021) and $319.44 million (Q2 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn | 1.99 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn | - |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn | 1.88 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -111.57 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - | 1.05 Bn |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn | -3.33 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn | - |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - | 328.21 Mn |
| 10 | Optimum Communications | 454.62 Mn | -3.80 Bn | 1.44 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 303.36 Mn |
| Dec 31, 2021 | 311.94 Mn |
| Sep 30, 2021 | 319.03 Mn |
| Jun 30, 2021 | 319.44 Mn |
| Mar 31, 2021 | 316.31 Mn |
| Dec 31, 2020 | 313.68 Mn |
| Sep 30, 2020 | 322.62 Mn |
| Jun 30, 2020 | 351.03 Mn |
| Mar 31, 2020 | 365.21 Mn |
| Dec 31, 2019 | 378.26 Mn |
| Sep 30, 2019 | 388.80 Mn |
| Jun 30, 2019 | 381.22 Mn |
| Mar 31, 2019 | 388.28 Mn |
| Dec 31, 2018 | 398.89 Mn |
| Sep 30, 2018 | 389.59 Mn |
| Jun 30, 2018 | 390.54 Mn |
| Mar 31, 2018 | 377.26 Mn |
| Dec 31, 2017 | 370.40 Mn |
| Sep 30, 2017 | 379.07 Mn |
| Jun 30, 2017 | 420.37 Mn |
Optimum Communications Interest 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=interest-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "OPTU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();