Ksolves India Limited Total Liabilities
Ksolves India Limited total liabilities. Based on the latest financial reports, Ksolves India Limited (KSOLVES) has total liabilities worth Rs-293.85 Million INR (≈ $-3.18 Million USD) as of June 2026. Total liabilities represent everything the company owes to external parties, combining both current liabilities—like accounts payable, short-term debt, and accrued expenses—and non-current liabilities such as long-term debt, pension obligations, lease liabilities, and deferred tax liabilities. See Ksolves India Limited defensive liquidity buffer to measure how many days the company can operate on defensive assets alone.
Total Liabilities of Ksolves India Limited (2018–2026)
Total liabilities of Ksolves India Limited from 2018 to 2026. This chart illustrates how Ksolves India Limited's total liabilities have evolved over time, based on quarterly financial data. Check asset resilience ratio of Ksolves India Limited to evaluate the company's liquid asset resilience ratio.
Ksolves India Limited Competitors by Total Liabilities
The table below lists competitors of Ksolves India Limited ranked by their total liabilities.
| Company | Country | Total Liabilities |
|---|---|---|
|
Muda Holdings Bhd
KLSE:3883
|
Malaysia | RM1.06 Billion |
|
ktcs corporation
KO:058850
|
Korea | ₩211.36 Billion |
|
Aeon Motor Co Ltd
TWO:1599
|
Taiwan | NT$926.75 Million |
|
DIC India Limited
NSE:DICIND
|
India | Rs2.92 Billion |
|
MCT Bhd
KLSE:5182
|
Malaysia | RM550.59 Million |
|
Coxon Precise Industrial Co Ltd
TW:3607
|
Taiwan | NT$1.36 Billion |
|
Atlas Lithium Corporation Common Stock
NASDAQ:ATLX
|
USA | $35.64 Million |
|
OSE Pharma SA
PA:OSE
|
France | €53.58 Million |
Liability Composition Analysis (2018–2026)
This chart breaks down Ksolves India Limited's total liabilities into key components over time: long-term debt, short-term debt, other current liabilities, and other non-current liabilities. Toggle between absolute values and percentage view to see how the composition has shifted. For the complete balance sheet picture, see KSOLVES asset base.
Liquidity & Leverage Metrics
Ksolves India Limited Total Liabilities Ratios Explained
Ksolves India Limited total liabilities ratios compare its liabilities with its current assets, cash and shareholder equity.
| Metric | Value | Description |
|---|---|---|
| Current Ratio | N/A | Measures ability to pay short-term obligations (Current Assets ÷ Current Liabilities) |
| Quick Ratio | N/A | More stringent measure of short-term liquidity ((Current Assets - Inventory) ÷ Current Liabilities) |
| Cash Ratio | N/A | Most conservative liquidity measure (Cash & Equivalents ÷ Current Liabilities) |
| Debt to Equity | -1.00 | Measures financial leverage (Total Liabilities ÷ Shareholder Equity) |
| Debt to Assets | N/A | Portion of assets financed with debt (Total Liabilities ÷ Total Assets) |
Liability Trends Comparison
This chart compares key liability metrics across different time periods, showing how Ksolves India Limited's debt structure has evolved. The comparison includes total liabilities, long-term debt, and current liabilities.
Annual Total Liabilities for Ksolves India Limited (2018–2026)
The table below shows the annual total liabilities of Ksolves India Limited from 2018 to 2026.
| Year | Total Liabilities | Change |
|---|---|---|
| 2026-03-31 | Rs326.67 Million ≈ $3.53 Million |
-8.32% |
| 2025-03-31 | Rs356.30 Million ≈ $3.85 Million |
+126.59% |
| 2024-03-31 | Rs157.24 Million ≈ $1.70 Million |
+34.35% |
| 2023-03-31 | Rs117.04 Million ≈ $1.27 Million |
+67.01% |
| 2022-03-31 | Rs70.08 Million ≈ $757.93K |
+81.98% |
| 2021-03-31 | Rs38.51 Million ≈ $416.49K |
+216.68% |
| 2020-03-31 | Rs12.16 Million ≈ $131.52K |
+145.78% |
| 2019-03-31 | Rs4.95 Million ≈ $53.51K |
+56.68% |
| 2018-03-31 | Rs3.16 Million ≈ $34.15K |
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About Ksolves India Limited
Ksolves India Limited provides software development services India and internationally. It provides artificial intelligence (AI) and machine learning services, including AI strategy and consulting, machine learning model development, predictive analytics and forecasting, natural language processing, computer vision, AI for business process automation, AI on cloud and edge, and AI risk, ethics, an… Read more