CXApp (CXAI) Operating Expenses (2021 - 2026)
CXApp (CXAI) recorded Operating Expenses of $4.91 million in Q1 2026, up 2.0% from $4.82 million a year earlier but down 27.6% from the prior quarter.
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Analysis
CXApp (CXAI) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, CXApp's Operating Expenses came in at $21.68 million as of Mar 31, 2026, up 12.1% year-over-year; for FY2025, it came in at $21.58 million, up 10.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 143.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $19.6 million in FY2024 (-62.8%), $52.69 million in FY2023, $2.95 million in FY2022 (+97.0%) and $1.5 million in FY2021 (+492.6%).
- Quarterly Operating Expenses has ranged from $301,733 in Q2 2022 to $35.67 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 13.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 948.7% in Q3 2023, against a decline of 88.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.78 million (Q4 2025), $4.82 million (Q3 2025) and $5.16 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 8.41 Bn |
| 10 | CXApp | 4.24 Mn | 4.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.91 Mn |
| Dec 31, 2025 | 6.78 Mn |
| Sep 30, 2025 | 4.82 Mn |
| Jun 30, 2025 | 5.16 Mn |
| Mar 31, 2025 | 4.82 Mn |
| Dec 31, 2024 | 4.25 Mn |
| Sep 30, 2024 | 5.21 Mn |
| Jun 30, 2024 | 5.06 Mn |
| Mar 31, 2024 | 5.08 Mn |
| Sep 30, 2023 | 5.64 Mn |
| Jun 30, 2023 | 5.86 Mn |
| Mar 14, 2023 | 5.52 Mn |
| Dec 31, 2022 | 1.23 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 301,733.00 |
| Mar 31, 2022 | 323,252.00 |
| Dec 31, 2021 | 427,243.00 |
| Sep 30, 2021 | 346,362.00 |
| Jun 30, 2021 | 327,104.00 |
| Mar 31, 2021 | 397,205.00 |
API Access
CXApp 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=CXAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CXAI", "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=CXAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();