OneMeta (ONEI) Other Accumulated Expenses (2012 - 2026)
OneMeta (ONEI) posted Other Accumulated Expenses of $19,000 for Q2 2026, down 86.9% from $144,520 a year earlier and down 24.0% from the prior quarter.
Analysis
OneMeta (ONEI) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2024, OneMeta's Other Accumulated Expenses came in at $70,348.
- In prior years, OneMeta's Other Accumulated Expenses was $4,337 in FY2023 (-68.6%) and $13,809 in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2023.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last four quarters, with growth averaging 218.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | OneMeta | 6.61 Mn | 6.36 Mn | 301,565.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19,000.00 |
| Mar 31, 2026 | 25,000.00 |
| Sep 30, 2025 | 285,678.00 |
| Jun 30, 2025 | 144,520.00 |
| Dec 31, 2024 | 70,348.00 |
| Sep 30, 2024 | 49,270.00 |
| Jun 30, 2024 | 22,861.00 |
| Mar 31, 2024 | 28,448.00 |
| Dec 31, 2023 | 4,337.00 |
| Sep 30, 2023 | 103,912.00 |
| Dec 31, 2022 | 13,809.00 |
| Sep 30, 2014 | 56,587.00 |
| Jun 30, 2014 | 42,965.00 |
| Mar 31, 2014 | 29,357.00 |
| Dec 31, 2013 | 20,219.00 |
| Dec 31, 2012 | 55,682.00 |
API Access
OneMeta Other 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=other-accumulated-expenses&ticker=ONEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ONEI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=ONEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();