Claritev (CTEV) Operating Expenses (2019 - 2026)
Claritev (CTEV) posted Operating Expenses of $234.07 million for Q2 2026, up 4.0% from $224.99 million a year earlier but down 1.7% from the prior quarter.
Claritev (CTEV) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Claritev was $962.18 million, down 25.3% year-over-year; for FY2025, it came in at $936.65 million, down 59.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Claritev's Operating Expenses was $2.32 billion in FY2024 (+190.2%), $799.54 million in FY2023 (-44.6%), $1.44 billion in FY2022 (+97.2%) and $731.48 million in FY2021 (-31.6%).
- Quarterly Operating Expenses has run from a low of $181.41 million in Q1 2022 to a high of $854.62 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 2.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 353.0%; the weakest was Q4 2023, with a decline of 76.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $238.04 million (Q1 2026), $254.18 million (Q4 2025) and $235.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Claritev | 381.90 Mn | 296.96 Mn | 189.81 Mn | 234.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 234.07 Mn |
| Mar 31, 2026 | 238.04 Mn |
| Dec 31, 2025 | 254.18 Mn |
| Sep 30, 2025 | 235.89 Mn |
| Jun 30, 2025 | 224.99 Mn |
| Mar 31, 2025 | 221.59 Mn |
| Dec 31, 2024 | 273.50 Mn |
| Sep 30, 2024 | 568.71 Mn |
| Jun 30, 2024 | 757.40 Mn |
| Mar 31, 2024 | 720.94 Mn |
| Dec 31, 2023 | 203.32 Mn |
| Sep 30, 2023 | 203.29 Mn |
| Jun 30, 2023 | 203.28 Mn |
| Mar 31, 2023 | 189.65 Mn |
| Dec 31, 2022 | 854.62 Mn |
| Sep 30, 2022 | 214.05 Mn |
| Jun 30, 2022 | 192.36 Mn |
| Mar 31, 2022 | 181.41 Mn |
| Dec 31, 2021 | 188.65 Mn |
| Sep 30, 2021 | 183.76 Mn |
Claritev 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=CTEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CTEV", "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=CTEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();