VNUE, Inc. (RDCT) Operating Expenses (2010 - 2024)
Vnue (RDCT) posted Operating Expenses of $1.32 million for Q3 2024, up 340.4% from $300,132 a year earlier and up 358.4% from the prior quarter.
VNUE, Inc. (RDCT) Operating Expenses (2010 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2024, Operating Expenses at Vnue was $2.34 million, down 60.4% year-over-year; for FY2023, it came in at $1.59 million, down 92.7% from FY2022.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.4% (FY2018 to FY2023).
- In prior years, Vnue's Operating Expenses was $21.85 million in FY2022, $932,134 in FY2021 (+55.1%), $601,022 in FY2020 (-54.6%) and $1.32 million in FY2019 (+2.9%).
- The Q3 2024 figure stands as the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses increased in 1 of the last seven quarters, with an average decline of 1.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 340.4%; the weakest was Q2 2023, with a decline of 97.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $288,319 (Q2 2024), $192,087 (Q1 2024) and $532,984 (Q4 2023).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 288,319.00 |
| Mar 31, 2024 | 192,087.00 |
| Dec 31, 2023 | 532,984.00 |
| Sep 30, 2023 | 300,132.00 |
| Jun 30, 2023 | 407,948.00 |
| Mar 31, 2023 | 352,693.00 |
| Dec 31, 2022 | 4.84 Mn |
| Sep 30, 2022 | 540,616.00 |
| Jun 30, 2022 | 15.83 Mn |
| Mar 31, 2022 | 645,039.00 |
| Dec 31, 2021 | 317,338.00 |
| Sep 30, 2021 | 279,884.00 |
| Jun 30, 2021 | 160,886.00 |
| Mar 31, 2021 | 174,028.00 |
| Dec 31, 2020 | 124,001.00 |
| Sep 30, 2020 | 106,990.00 |
| Jun 30, 2020 | 193,843.00 |
| Mar 31, 2020 | 176,188.00 |
| Dec 31, 2019 | 317,194.00 |
VNUE, Inc. Operating 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=operating-expenses&ticker=RDCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RDCT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=RDCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();