Caro Holdings (CAHO) Operating Expenses (2016 - 2026)
Caro Holdings' Operating Expenses came in at $161,540 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 372.5% from $34,186 a year earlier but down 14.1% from the prior quarter.
Caro Holdings (CAHO) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Caro Holdings reported Operating Expenses of $420,892, unchanged year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $293,538, down 31.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 59.2% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $428,413 in FY2025 (+38.5%), $309,404 in FY2024 (+24.2%), $249,152 in FY2023 (+307.8%) and $61,099 in FY2022 (+112.7%).
- The five-year range for quarterly Operating Expenses is $9,133 (fiscal Q3 2022) to $201,694 (fiscal Q4 2025).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with growth averaging 71.8%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2024 (growth of 961.1%), and the weakest in fiscal Q3 2026 (a decline of 73.6%).
- Business Quant data shows CAHO's Operating Expenses at $188,130 (Q4 2026), $36,674 (Q3 2026) and $34,548 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,056.92 Bn | 3,814.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,810.97 Bn | 1,513.49 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 274.15 Bn | 234.34 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 243.05 Bn | 56.82 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 230.06 Bn | 207.24 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.17 Bn | 110.97 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.90 Bn | 54.95 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.14 Bn | -133.63 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 108.32 Bn | 65.82 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Caro Holdings | 11.11 Mn | 11.10 Mn | - | 161,540.00 |
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();