Bright Mountain Media, Inc. (BMTM) Non Operating Interest Expenses (2013 - 2024)
Bright Mountain Media's Non Operating Interest Expenses was $3.36 million in Q2 2024, up 49.4% from $2.25 million a year earlier and up 12.3% from the prior quarter.
Bright Mountain Media, Inc. (BMTM) Non Operating Interest Expenses (2013 - 2024) Analysis & Trends
On a trailing twelve-month basis, Bright Mountain Media's Non Operating Interest Expenses was $9.77 million through Jun 30, 2024, up 64.4% year-over-year; for FY2023, it was $9.16 million, up 115.6% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 187.2% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $4.25 million in FY2022, $322,172 in FY2021 (-44.6%), $581,924 in FY2020 and $20,077 in FY2019 (-57.2%).
- The Q2 2024 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q2 2013.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2024 (growth of 156.3%); the worst was Q1 2022 (a decline of 100.0%).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 3.36 Mn |
| Mar 31, 2024 | 2.99 Mn |
| Jun 30, 2023 | 2.25 Mn |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 1.78 Mn |
| Sep 30, 2022 | 744,000.00 |
| Jun 30, 2022 | 722.00 |
| Mar 31, 2022 | 13.00 |
| Dec 31, 2021 | -995,828.00 |
| Sep 30, 2021 | 755,000.00 |
| Jun 30, 2021 | 75,211.00 |
| Mar 31, 2021 | 260,995.00 |
| Dec 31, 2020 | 575,833.00 |
| Sep 30, 2020 | 2,045.00 |
| Dec 31, 2019 | 12,175.00 |
| Sep 30, 2019 | 6,993.00 |
| Jun 30, 2019 | -1,840.00 |
| Mar 31, 2019 | 2,749.00 |
| Dec 31, 2018 | 5,664.00 |
| Sep 30, 2018 | 16,014.00 |
Bright Mountain Media, Inc. Non Operating 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=non-operating-interest-expenses&ticker=BMTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BMTM", "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-operating-interest-expenses&ticker=BMTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();