OneMeta (ONEI) Operating Expenses (2010 - 2026)
OneMeta's Operating Expenses came in at $1.22 million for Q2 2026, up 23.9% from $988,548 a year earlier but down 51.0% from the prior quarter.
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Analysis
OneMeta (ONEI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, OneMeta reported Operating Expenses of $6.46 million, up 40.2% year-over-year; for FY2025, it was $4.78 million, up 5.0% from FY2024.
- Operating Expenses carries a three-year compound annual growth rate of 53.9% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $4.55 million in FY2024 (-26.3%), $6.17 million in FY2023 (+370.8%) and $1.31 million in FY2022.
- The five-year range for quarterly Operating Expenses is $204,729 (Q3 2022) to $3.53 million (Q2 2023).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 21.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 415.7%), and the weakest in Q2 2024 (a decline of 70.1%).
- Business Quant data shows ONEI's Operating Expenses at $2.5 million (Q1 2026), $1.61 million (Q4 2025) and $1.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | OneMeta | 7.39 Mn | 7.14 Mn | 301,565.00 | 1.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Mn |
| Mar 31, 2026 | 2.50 Mn |
| Dec 31, 2025 | 1.61 Mn |
| Sep 30, 2025 | 1.12 Mn |
| Jun 30, 2025 | 988,548.00 |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.66 Mn |
| Sep 30, 2024 | 904,268.00 |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | 935,605.00 |
| Dec 31, 2023 | 1.63 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | 535,682.00 |
| Dec 31, 2022 | 590,405.00 |
| Sep 30, 2022 | 204,729.00 |
| Sep 30, 2014 | 460,786.00 |
| Jun 30, 2014 | 513,174.00 |
| Mar 31, 2014 | 384,468.00 |
| Dec 31, 2013 | 182,054.00 |
API Access
OneMeta 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=ONEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ONEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();