OneMeta (ONEI) Change in Accured Expenses (2010 - 2026)
OneMeta (ONEI) reported Change in Accured Expenses of $108,785 for Q2 2026, compared with $4,341 a year earlier and down 63.1% from the prior quarter.
OneMeta (ONEI) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, OneMeta's Change in Accured Expenses came in at $472,077, up 179.6% year-over-year; for FY2025, it came in at $115,820, up 542.6% from FY2024.
- Change in Accured Expenses has a three-year compound annual growth rate of -31.3% (FY2022 to FY2025).
- By year, Change in Accured Expenses came in at $18,025 in FY2024, -$279,916 in FY2023 and $357,555 in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$154,033 in Q4 2023 and a high of $294,853 in Q1 2026.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 133.4%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $294,853 (Q1 2026), $20,041 (Q4 2025) and $48,398 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | OneMeta | 6.61 Mn | 6.36 Mn | 301,565.00 | 108,785.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108,785.00 |
| Mar 31, 2026 | 294,853.00 |
| Dec 31, 2025 | 20,041.00 |
| Sep 30, 2025 | 48,398.00 |
| Jun 30, 2025 | 4,341.00 |
| Mar 31, 2025 | 43,040.00 |
| Dec 31, 2024 | 80,906.00 |
| Sep 30, 2024 | 40,573.00 |
| Jun 30, 2024 | 4,160.00 |
| Mar 31, 2024 | -107,614.00 |
| Dec 31, 2023 | -154,033.00 |
| Sep 30, 2023 | -36,831.00 |
| Jun 30, 2023 | -100,263.00 |
| Mar 31, 2023 | 11,211.00 |
| Dec 31, 2022 | 98,147.00 |
| Sep 30, 2022 | 259,869.00 |
| Jun 30, 2014 | 9,066.00 |
| Mar 31, 2014 | -9,527.00 |
| Dec 31, 2013 | -13,072.00 |
| Sep 30, 2013 | 6,008.00 |
OneMeta Change in Accured 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=change-in-accured-expenses&ticker=ONEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ONEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();