Opera (OPRA) Times Interest Earned (2016 - 2026)
Opera's (OPRA) quarterly Times Interest Earned came in at 42.68 in Q2 2026, down 179.67% year-over-year from 53.58 in Q2 2025, and up 79.49% quarter-over-quarter from 208.13 in Q1 2026.
Opera (OPRA) Times Interest Earned (2016 - 2026) Analysis & Trends
Opera has disclosed Times Interest Earned across 11 years of filings, most recently posting 42.68 for Q2 2026.
- In Q2 2026, Times Interest Earned fell 179.67% year-over-year to 42.68; the TTM figure through Jun 2026 stood at 1806.1 (up 1019.84% YoY), while the FY2025 annual figure was 63.25, up 178.98% from the prior year.
- Times Interest Earned came in at 42.68 for Q2 2026 at Opera, up from 208.13 in the prior quarter.
- In the past five years, Times Interest Earned ranged from a high of 76.08 in Q1 2025 to a low of 208.13 in Q1 2026.
- Average Times Interest Earned over 5 years is 24.7, with a median of 4.62 recorded in 2023.
- The largest YoY upside for Times Interest Earned was 9463.3% in 2023 against a maximum downside of 28501.64% in 2023.
- Over 5 years, Times Interest Earned stood at 0.33 in 2022, then jumped by 9463.3% to 31.13 in 2023, then tumbled by 160.1% to 18.71 in 2024, then soared by 247.81% to 27.65 in 2025, then plunged by 254.35% to 42.68 in 2026.
- Per Business Quant data, the three most recent Times Interest Earned figures were 42.68 in Q2 2026, 208.13 in Q1 2026, and 27.65 in Q4 2025.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42.68 |
| Mar 31, 2026 | -208.13 |
| Dec 31, 2025 | 27.65 |
| Sep 30, 2025 | -100.80 |
| Jun 30, 2025 | 53.58 |
| Mar 31, 2025 | 76.08 |
| Dec 31, 2024 | -18.71 |
| Sep 30, 2024 | 57.96 |
| Jun 30, 2024 | -118.61 |
| Mar 31, 2024 | -137.85 |
| Dec 31, 2023 | 31.13 |
| Sep 30, 2023 | -16.47 |
| Jun 30, 2023 | -5.83 |
| Mar 31, 2023 | -37.50 |
| Dec 31, 2022 | -0.33 |
| Sep 30, 2022 | -3.41 |
| Jun 30, 2022 | -0.73 |
| Mar 31, 2022 | 0.13 |
| Dec 31, 2021 | 0.93 |
| Sep 30, 2021 | 0.79 |
Opera Times Interest Earned 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=times-interest-earned&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "OPRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=times-interest-earned&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();