Be someone who "searches" and not "makes up" things oleh Eko Susilo

  Jadilah seseorang yang "mencari" dan bukan "mengarang" sesuatu oleh Eko Susilo

Jangan 

"Makes up" itu memposisikan lebih dari yang lain".

Lebih baik bertanya dan mencari dan bukan menggoreng peristiwa.

Hidup soal belajar...

Apapun itu.

When .. said that to me, i feel not good.

When you.....(sorry polite not matter again.. said that to me, i feel not good to fight except with basic question ?.

I don't care who you are..!!! You know..!!!!

Soal sombong

By comparing financial data from multiple periods, you can identify patterns, such as increasing revenues or decreasing expenses, which are crucial for understanding long-term performance.

Horizontal analysis, also known as trend analysis, is a technique used to evaluate financial statements by comparing data from different periods. Here’s how it can be beneficial:

1. **Identifying Trends**: Horizontal analysis allows you to observe trends over time. By comparing financial data from multiple periods, you can identify patterns, such as increasing revenues or decreasing expenses, which are crucial for understanding long-term performance.

2. **Assessing Growth**: This analysis helps in assessing the growth trajectory of a company. For instance, you can analyze year-over-year changes in revenue, profit margins, and other key metrics to gauge how well the company is expanding or contracting.

3. **Evaluating Financial Health**: By examining changes in various financial statement items, you can get a clearer picture of a company's financial health. For example, if expenses are rising faster than revenues, it could indicate potential financial trouble.

4. **Comparing Performance**: Horizontal analysis enables comparisons with industry standards or competitors. Understanding how your company's financial performance compares to industry averages can provide insights into its relative position in the market.

5. **Supporting Strategic Decisions**: With historical data trends, management can make informed strategic decisions. For example, if a particular cost is consistently increasing, management might investigate ways to reduce it or consider adjustments to pricing strategies.

6. **Budget Supporting Strategic Decisions**: With historical data trends, management can make informed strategic decisions. For example, if a particular cost is consistently increasing, management might investigate ways to reduce it or consider adjustments to pricing strategies.

7. **Budgeting and Forecasting**: Horizontal analysis helps in creating more accurate budgets and forecasts. By understanding historical trends, companies can make more realistic projections about future financial performance and allocate resources accordingly.

8. **Evaluating Operational Efficiency**: This analysis can highlight changes in operational efficiency. For example, if sales are increasing but operating expenses are growing faster, it may indicate inefficiencies or increased costs that need addressing.

9. **Detecting Anomalies**: Analyzing financial data over time can help in detecting unusual fluctuations or anomalies. Significant or unexpected changes in financial figures can prompt further investigation to determine underlying causes.

10. **Communicating Performance**: Horizontal analysis is often used to communicate financial performance to stakeholders, including investors, analysts, and board members. It provides a clear view of how a company’s financial metrics have evolved, which can be crucial for discussions about performance and strategy.

In summary, horizontal analysis of financial reports is a valuable tool for tracking and interpreting financial trends, supporting decision-making, and enhancing overall financial management.

Chat GPT-Source : The percentage of revenue growth considered "good" can vary depending on several factors, including the industry, company size, and market conditions. However, here are some general guidelines:

1. **Industry Benchmarks**: Different industries have different growth norms. For example:

   - **Technology**: High-growth sectors like technology might expect annual revenue growth rates of 15-30% or more.

   - **Consumer Goods**: Established consumer goods companies might see good growth rates of around 5-10% annually.

   - **Utilities**: Companies in stable sectors like utilities might have lower growth expectations, around 2-5%.

2. **Company Stage**: The stage of the company affects growth expectations:

   - **Startups**: Early-stage companies often aim for high growth, potentially 30% or more annually, as they seek to scale rapidly.

   - **Mature Companies**: Established companies might target more modest growth, typically 5-10% annually, as they have already captured a significant portion of the market.

3. **Economic Conditions**: In a strong economy, higher growth rates might be expected, while in a recession or economic downturn, even modest growth can be seen as a positive outcome.

4. **Historical Performance**: Comparing current growth to historical performance is important. A good growth rate is often one that exceeds past performance and aligns with strategic goals.

5. **Market Share and Competition**: Companies in competitive markets may need higher growth rates to gain or maintain market share. 

### Key Points:

- **High-Growth Industries**: 15-30% or more annually.

- **Stable or Mature Industries**: 5-10% annually.

- **Economic Conditions and Company Stage**: Adjust expectations based on current conditions and company maturity.

Ultimately, what constitutes "good" growth is relative and should be considered in the context of industry standards, company goals, and market conditions.

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