Crexendo (CXDO) Operating Expenses (2010 - 2026)
Crexendo (CXDO) posted Operating Expenses of $23.59 million for Q2 2026, up 52.7% from $15.45 million a year earlier and up 16.4% from the prior quarter.
Crexendo (CXDO) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Crexendo was $76.98 million, up 25.3% year-over-year; for FY2025, it came in at $63.48 million, up 7.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- In prior years, Crexendo's Operating Expenses was $59.01 million in FY2024 (+7.5%), $54.89 million in FY2023 (-26.8%), $74.95 million in FY2022 (+142.5%) and $30.9 million in FY2021 (+100.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses has increased in each of the last nine quarters, with growth averaging 18.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 370.2%; the weakest was Q4 2023, with a decline of 69.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $20.27 million (Q1 2026), $16.93 million (Q4 2025) and $16.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Crexendo | 194.84 Mn | 109.35 Mn | - | 23.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.59 Mn |
| Mar 31, 2026 | 20.27 Mn |
| Dec 31, 2025 | 16.93 Mn |
| Sep 30, 2025 | 16.19 Mn |
| Jun 30, 2025 | 15.45 Mn |
| Mar 31, 2025 | 14.91 Mn |
| Dec 31, 2024 | 15.61 Mn |
| Sep 30, 2024 | 15.49 Mn |
| Jun 30, 2024 | 14.11 Mn |
| Mar 31, 2024 | 13.80 Mn |
| Dec 31, 2023 | 14.13 Mn |
| Sep 30, 2023 | 13.51 Mn |
| Jun 30, 2023 | 13.19 Mn |
| Mar 31, 2023 | 14.07 Mn |
| Dec 31, 2022 | 46.05 Mn |
| Sep 30, 2022 | 9.65 Mn |
| Jun 30, 2022 | 9.70 Mn |
| Mar 31, 2022 | 9.55 Mn |
| Dec 31, 2021 | 9.79 Mn |
| Sep 30, 2021 | 8.76 Mn |
Crexendo 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=CXDO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CXDO", "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=CXDO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();