Caro Holdings (CAHO) Operating Expenses (2016 - 2026)
Caro Holdings' (CAHO) quarterly Operating Expenses came in at $161540.0 in Q2 2026, up 372.53% year-over-year from $34186.0 in Q2 2025, and down 14.13% quarter-over-quarter from $188130.0 in Q1 2026.
Caro Holdings (CAHO) Operating Expenses (2016 - 2026) Analysis & Trends
Caro Holdings has disclosed Operating Expenses across 11 years of filings, most recently posting $161540.0 for Q2 2026.
- In Q2 2026, Operating Expenses rose 372.53% year-over-year to $161540.0; the TTM figure through Jun 2026 stood at $420892.0 (changed 0.01% YoY), while the FY2026 annual figure was $293538.0, down 31.48% from the prior year.
- Operating Expenses came in at $161540.0 for Q2 2026 at Caro Holdings, down from $188130.0 in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $201694.0 in Q1 2025 to a low of $10572.0 in Q2 2022.
- Average Operating Expenses over 5 years is $81096.3, with a median of $59677.5 recorded in 2023.
- Year-over-year, Operating Expenses jumped 1027.3% in 2022 and sank 73.61% in 2025.
- Over 5 years, Operating Expenses stood at $102956.0 in 2022, then dropped by 24.37% to $77869.0 in 2023, then surged by 78.43% to $138943.0 in 2024, then slumped by 73.61% to $36674.0 in 2025, then jumped by 340.48% to $161540.0 in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $161540.0 in Q2 2026, $188130.0 in Q1 2026, and $36674.0 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shopify | 166.44 Bn | 161.49 Bn | 1.71 Bn | 1.22 Bn |
| 2 | Global-E Online | 6.43 Bn | 6.07 Bn | 131.87 Mn | 87.19 Mn |
| 3 | Vtex | 629.70 Mn | 443.81 Mn | 51.71 Mn | -26.70 Mn |
| 4 | Rezolve Ai | 369.68 Mn | 258.57 Mn | - | - |
| 5 | Commerce.com | 275.92 Mn | 119.60 Mn | 63.53 Mn | 60.83 Mn |
| 6 | Baozun | 152.97 Mn | -66.33 Mn | 302.56 Mn | -394.92 Mn |
| 7 | BeLive Holdings | 24.01 Mn | 17.39 Mn | - | - |
| 8 | Paid | 18.65 Mn | 17.57 Mn | 1.22 Mn | 1.25 Mn |
| 9 | Caro Holdings | 11.71 Mn | 11.71 Mn | - | 161,540.00 |
| 10 | Amaze Holdings | 1.11 Mn | 1.11 Mn | - | 700.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161,540.00 |
| Mar 31, 2026 | 188,130.00 |
| Dec 31, 2025 | 36,674.00 |
| Sep 30, 2025 | 34,548.00 |
| Jun 30, 2025 | 34,186.00 |
| Mar 31, 2025 | 201,694.00 |
| Dec 31, 2024 | 138,943.00 |
| Sep 30, 2024 | 46,125.00 |
| Jun 30, 2024 | 41,651.00 |
| Mar 31, 2024 | 53,553.00 |
| Dec 31, 2023 | 77,869.00 |
| Sep 30, 2023 | 65,802.00 |
| Jun 30, 2023 | 112,180.00 |
| Mar 31, 2023 | 109,749.00 |
| Dec 31, 2022 | 102,956.00 |
| Sep 30, 2022 | 25,875.00 |
| Jun 30, 2022 | 10,572.00 |
| Mar 31, 2022 | 17,687.00 |
| Dec 31, 2021 | 9,133.00 |
| Sep 30, 2021 | 15,100.00 |
Caro Holdings 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=CAHO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CAHO", "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=CAHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();