Investview (INVUP) Operating Expenses (2010 - 2026)
Investview's (INVUP) quarterly Operating Expenses came in at $6.7 million in Q1 2026, down 36.01% year-over-year from $10.4 million in Q1 2025, and down 52.07% quarter-over-quarter from $13.9 million in Q4 2025.
Investview (INVUP) Operating Expenses (2010 - 2026) Analysis & Trends
Investview (INVUP) has reported Operating Expenses for 17 consecutive years, with $6.7 million the latest figure, recorded in Q1 2026.
- On a quarterly basis, Operating Expenses fell 36.01% year-over-year to $6.7 million in Q1 2026; TTM through Mar 2026 was $40.8 million, a 13.89% decrease from a year earlier, with the FY2025 full-year figure at $44.5 million, down 12.18% from the prior year.
- Operating Expenses was $6.7 million for Q1 2026 at Investview, down from $13.9 million in the prior quarter.
- Over five years, Operating Expenses peaked at $29.4 million in Q4 2022 and troughed at $6.7 million in Q1 2026.
- A 5-year average of $13.9 million and a median of $13.2 million in 2022 frame the typical range for Operating Expenses.
- Across the five-year window, Operating Expenses slumped 84.75% in 2022 and climbed 21.89% in 2023, its largest moves.
- Over 5 years, Operating Expenses stood at $29.4 million in 2022, then sank by 41.53% to $17.2 million in 2023, then plunged by 31.3% to $11.8 million in 2024, then gained by 18.22% to $13.9 million in 2025, then plunged by 52.07% to $6.7 million in 2026.
- The last three Operating Expenses figures came in at $6.7 million (Q1 2026), $13.9 million (Q4 2025), and $10.1 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 | - |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn | 528.00 Mn |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn | 812.00 Mn |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn | 822.22 Mn |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn | 891.20 Mn |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - | 12.44 Mn |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn | 634.01 Mn |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn | 722.71 Mn |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn | 245.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.68 Mn |
| Dec 31, 2025 | 13.94 Mn |
| Sep 30, 2025 | 10.09 Mn |
| Jun 30, 2025 | 10.04 Mn |
| Mar 31, 2025 | 10.44 Mn |
| Dec 31, 2024 | 11.79 Mn |
| Sep 30, 2024 | 12.44 Mn |
| Jun 30, 2024 | 12.65 Mn |
| Mar 31, 2024 | 13.80 Mn |
| Dec 31, 2023 | 17.17 Mn |
| Sep 30, 2023 | 16.93 Mn |
| Jun 30, 2023 | 16.05 Mn |
| Mar 31, 2023 | 13.17 Mn |
| Dec 31, 2022 | 29.36 Mn |
| Sep 30, 2022 | 14.47 Mn |
| Jun 30, 2022 | 13.17 Mn |
| Sep 30, 2021 | 94.88 Mn |
| Jun 30, 2021 | 27.29 Mn |
| Mar 31, 2021 | 12.20 Mn |
| Dec 31, 2020 | 9.45 Mn |
Investview 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=INVUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INVUP", "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=INVUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();