Covista (CVSA) Operating Expenses (2009 - 2026)
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Analysis
Covista (CVSA) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.50 Bn | 9.57 Bn | 272.27 Mn | 30.59 Mn |
| 2 | New Oriental Education & Technology | 8.07 Bn | -2.95 Bn | 20,000.00 | 1.50 Bn |
| 3 | TAL Education | 6.08 Bn | -6.40 Bn | 594.64 Mn | 358.78 Mn |
| 4 | Graham Holdings | 5.21 Bn | 307.76 Mn | 392.25 Mn | 1.24 Bn |
| 5 | Laureate Education | 4.77 Bn | 4.12 Bn | 131.69 Mn | 12.57 Mn |
| 6 | Valvoline | 4.62 Bn | 4.33 Bn | 214.90 Mn | 103.10 Mn |
| 7 | Covista | 4.17 Bn | 3.34 Bn | 290.78 Mn | 413.51 Mn |
| 8 | Stride | 3.33 Bn | 151.03 Mn | 241.12 Mn | 156.85 Mn |
| 9 | Onespaworld Holdings | 3.13 Bn | 3.03 Bn | 49.70 Mn | 246.58 Mn |
| 10 | Bright Horizons Family Solutions | 2.70 Bn | 2.15 Bn | 204.83 Mn | 100.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 413.51 Mn |
| Jun 30, 2026 | 405.94 Mn |
| Mar 31, 2026 | 395.69 Mn |
| Dec 31, 2025 | 392.27 Mn |
| Sep 30, 2025 | 376.81 Mn |
| Jun 30, 2025 | 380.18 Mn |
| Mar 31, 2025 | 375.55 Mn |
| Dec 31, 2024 | 343.86 Mn |
| Sep 30, 2024 | 347.16 Mn |
| Jun 30, 2024 | 341.38 Mn |
| Mar 31, 2024 | 350.93 Mn |
| Dec 31, 2023 | 334.63 Mn |
| Sep 30, 2023 | 340.65 Mn |
| Jun 30, 2023 | 325.08 Mn |
| Mar 31, 2023 | 309.65 Mn |
| Dec 31, 2022 | 317.28 Mn |
| Sep 30, 2022 | 330.64 Mn |
| Jun 30, 2022 | 314.68 Mn |
| Mar 31, 2022 | 331.33 Mn |
| Dec 31, 2021 | 346.46 Mn |
API Access
Covista 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=CVSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CVSA", "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=CVSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();