CapEx vs OpEx इवैल्यूएटर
PROLease vs buy, cloud vs on-premises, build vs outsource decisions analyze करो। TCO modeling, NPV analysis, और risk assessment frameworks के साथ।
उपयोग का उदाहरण
₹1.5 करोड़ की CNC machine खरीदें या ₹20 लाख/year lease करें? 10-year lifespan, ₹10 लाख/year maintenance। Cost of capital 9%। कौन सा better है?
इस स्किल का उपयोग कैसे करें
स्किल कॉपी करें ऊपर के बटन का उपयोग करें
अपने AI असिस्टेंट में पेस्ट करें (Claude, ChatGPT, आदि)
नीचे अपनी जानकारी भरें (वैकल्पिक) और अपने प्रॉम्प्ट में शामिल करने के लिए कॉपी करें
भेजें और चैट शुरू करें अपने AI के साथ
सुझाया गया कस्टमाइज़ेशन
| विवरण | डिफ़ॉल्ट | आपका मान |
|---|---|---|
| Time period for financial analysis (typical range: 3-10 years) | 5 | |
| Cost of capital or hurdle rate for discounting future cash flows | 0.10 | |
| Expected annual increase in operating costs | 0.03 | |
| Expected lifespan before technology becomes obsolete | 4 | |
| Annual maintenance cost as percentage of purchase price (5-15%) | 0.08 | |
| Expected resale/salvage value as percentage of purchase price | 0.20 |
शोध स्रोत
यह स्किल इन विश्वसनीय स्रोतों से शोध का उपयोग करके बनाया गया था:
- Understanding CapEx vs. OpEx in Corporate Finance Foundational definitions, accounting treatment, tax implications, and practical examples
- Leasing vs Buying Business Equipment: A Complete Guide Comprehensive comparison of advantages and disadvantages including cash flow and flexibility
- Build vs. Buy Software: Decision Framework 2025 Framework covering cost analysis, strategic evaluation, and implementation roadmaps
- Autonomous CAPEX vs OPEX Decisions AI-driven decision frameworks and optimization algorithms for infrastructure decisions
- CapEx vs. OpEx: Capital & Operating Expenses Explained Detailed explanation of accounting treatment and financial statement impact
- Should You Lease or Buy IT Equipment? Comparative analysis for distributed teams with decision factors and hybrid approaches
- Equipment Leasing vs. Purchasing Comparison Analysis of pros and cons aligned with business growth and IT capacity