Opera (OPRA) Non-Current Debt (2017 - 2024)
Opera's (OPRA) quarterly Non-Current Debt came in at $6.0 million in Q4 2024, down 15.52% year-over-year from $7.1 million in Q1 2024, and down 15.52% quarter-over-quarter from $7.1 million in Q4 2023.
Opera (OPRA) Non-Current Debt (2017 - 2024) Analysis & Trends
Opera has disclosed Non-Current Debt across 8 years of filings, most recently posting $6.0 million for Q4 2024.
- In Q4 2024, Non-Current Debt fell 15.52% year-over-year to $6.0 million; the TTM figure through Dec 2024 stood at $6.0 million (down 15.52% YoY), while the FY2024 annual figure was $6.0 million, down 15.52% from the prior year.
- Non-Current Debt came in at $6.0 million for Q4 2024 at Opera, down from $7.1 million in the prior quarter.
- In the past five years, Non-Current Debt ranged from a high of $7.1 million in Q4 2023 to a low of $23000.0 in Q4 2021.
- Average Non-Current Debt over 5 years is $3.7 million, with a median of $5.2 million recorded in 2022.
- Year-over-year, Non-Current Debt slumped 66.18% in 2021 and jumped 22513.04% in 2022.
- Over 5 years, Non-Current Debt stood at $68000.0 in 2020, then tumbled by 66.18% to $23000.0 in 2021, then jumped by 22513.04% to $5.2 million in 2022, then soared by 36.69% to $7.1 million in 2023, then fell by 15.52% to $6.0 million in 2024.
- Per Business Quant data, the three most recent Non-Current Debt figures were $6.0 million in Q4 2024, $7.1 million in Q4 2023, and $5.2 million in Q4 2022.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 6.01 Mn |
| Dec 31, 2023 | 7.11 Mn |
| Dec 31, 2022 | 5.20 Mn |
| Dec 31, 2021 | 23,000.00 |
| Dec 31, 2020 | 68,000.00 |
| Dec 31, 2019 | 137,000.00 |
| Dec 31, 2018 | 212,000.00 |
| Dec 31, 2017 | 4.03 Mn |
Opera Non-Current Debt 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=non-current-debt&ticker=OPRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=OPRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();