Investview (INVUP) Accumulated Expenses (2014 - 2026)
Investview's (INVUP) quarterly Accumulated Expenses came in at $172365.0 in Q1 2026, up 15.11% year-over-year from $149742.0 in Q1 2025, and up 198.17% quarter-over-quarter from $57808.0 in Q4 2025.
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Analysis
Investview (INVUP) Accumulated Expenses (2014 - 2026) Analysis & Trends
Investview (INVUP) has reported Accumulated Expenses for 13 consecutive years, with $172365.0 the latest figure, recorded in Q1 2026.
- On a quarterly basis, Accumulated Expenses rose 15.11% year-over-year to $172365.0 in Q1 2026; TTM through Mar 2026 was $172365.0, a 15.11% increase from a year earlier, with the FY2025 full-year figure at $57808.0, down 78.72% from the prior year.
- Accumulated Expenses was $172365.0 for Q1 2026 at Investview, up from $57808.0 in the prior quarter.
- Over five years, Accumulated Expenses peaked at $271606.0 in Q4 2024 and troughed at $47501.0 in Q1 2022.
- A 5-year average of $152448.6 and a median of $149742.0 in 2025 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses jumped 136.08% in 2022 and slumped 78.72% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $197300.0 in 2022, then retreated by 5.01% to $187419.0 in 2023, then jumped by 44.92% to $271606.0 in 2024, then tumbled by 78.72% to $57808.0 in 2025, then surged by 198.17% to $172365.0 in 2026.
- The last three Accumulated Expenses figures came in at $172365.0 (Q1 2026), $57808.0 (Q4 2025), and $180808.0 (Q3 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 172,365.00 |
| Dec 31, 2025 | 57,808.00 |
| Sep 30, 2025 | 180,808.00 |
| Jun 30, 2025 | 255,371.00 |
| Mar 31, 2025 | 149,742.00 |
| Dec 31, 2024 | 271,606.00 |
| Sep 30, 2024 | 127,696.00 |
| Jun 30, 2024 | 198,943.00 |
| Mar 31, 2024 | 104,308.00 |
| Dec 31, 2023 | 187,419.00 |
| Sep 30, 2023 | 83,461.00 |
| Jun 30, 2023 | 138,741.00 |
| Mar 31, 2023 | 80,038.00 |
| Dec 31, 2022 | 197,300.00 |
| Sep 30, 2022 | 89,311.00 |
| Jun 30, 2022 | 249,208.00 |
| Mar 31, 2022 | 47,501.00 |
| Dec 31, 2021 | 176,604.00 |
| Sep 30, 2021 | 138,436.00 |
| Jun 30, 2021 | 105,559.00 |
API Access
Investview Accumulated 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=accumulated-expenses&ticker=INVUP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INVUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();