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- | ====== Operating Cycle ====== | + | ======Operating Cycle====== |
- | The Operating Cycle is a crucial metric that measures | + | The Operating Cycle is the heartbeat of a business' |
- | ===== Cracking the Code: The Operating Cycle Formula | + | ===== The Nuts and Bolts: How to Calculate It ===== |
- | At its heart, | + | Calculating |
- | **Operating Cycle = [[Days Inventory Outstanding | + | The formula is: **Operating Cycle = DIO + DSO** |
- | Let's break down these two ingredients to see how they work together. | + | Where: |
- | ==== The Two Key Ingredients ==== | + | * **DIO** stands for [[Days Inventory Outstanding]]. |
- | === Days Inventory Outstanding (DIO) === | + | * **DSO** stands for [[Days Sales Outstanding]]. |
- | This metric, also known as Days in Inventory, tells you the average number of days a company holds onto its inventory before selling it. It answers the question: //"How long does our stuff sit on the shelf?"// | + | Let's break these down. |
- | === Days Sales Outstanding (DSO) === | + | ==== Days Inventory Outstanding (DIO) ==== |
- | This metric, sometimes called the Average Collection Period, measures the average number of days it takes for a company to collect | + | Also known as // |
+ | The formula to calculate it is: | ||
+ | **DIO = (Average Inventory / [[Cost of Goods Sold]]) x 365** | ||
+ | //Average Inventory// is typically the inventory | ||
+ | ==== Days Sales Outstanding (DSO) ==== | ||
+ | Also known as //Days Receivables// | ||
+ | The formula is: | ||
+ | **DSO = (Average [[Accounts Receivable]] / [[Revenue]]) x 365** | ||
+ | //Average Accounts Receivable// | ||
+ | === Putting It All Together: An Example === | ||
+ | Let' | ||
+ | * Revenue: $500,000 | ||
+ | * Cost of Goods Sold (COGS): $300,000 | ||
+ | * Average Inventory: $50,000 | ||
+ | * Average Accounts Receivable: $40,000 | ||
+ | Now, let's calculate its operating cycle step-by-step: | ||
+ | - **Step 1: Calculate DIO** | ||
+ | DIO = ($50,000 / $300,000) x 365 = 60.8 days | ||
+ | //It takes Cap's about 61 days to sell a hat after making it.// | ||
+ | - **Step 2: Calculate DSO** | ||
+ | DSO = ($40,000 / $500,000) x 365 = 29.2 days | ||
+ | //After selling a hat, it takes Cap's about 29 days to get the cash from the customer.// | ||
+ | - **Step 3: Calculate | ||
+ | Operating Cycle = 60.8 + 29.2 = 90 days | ||
+ | //From start to finish, it takes Cap's Custom Caps 90 days to turn its investment in a hat into cash in the bank.// | ||
===== Why Should a Value Investor Care? ===== | ===== Why Should a Value Investor Care? ===== | ||
- | Understanding the operating cycle is more than just an accounting exercise; it' | + | The operating cycle isn' |
- | ==== A Window into Efficiency | + | ==== A Window into a Company' |
- | A short and stable operating cycle is a hallmark | + | A shorter |
- | ==== The Cash is King Connection ==== | + | ==== Spotting Trends and Red Flags ==== |
- | A shorter operating cycle means a company needs less [[working capital]] to function. Because cash is tied up for a shorter period, | + | A single number doesn't tell the whole story. The real insight comes from two things: |
- | * Pay down debt, strengthening the [[balance sheet]]. | + | * **Trends Over Time:** Is the company's operating cycle getting longer or shorter? A consistently lengthening cycle could signal trouble, such as slowing sales (rising |
- | * Repurchase shares, increasing shareholder value. | + | * **Industry Comparison:** It's essential to compare a company' |
- | * Pay dividends | + | ==== The Link to the Cash Conversion Cycle ==== |
- | * Reinvest in growth opportunities without needing to borrow money or issue new stock. | + | The Operating Cycle is one half of an even more powerful metric: the [[Cash Conversion Cycle]] (CCC). The CCC takes the analysis one step further by also considering how long a company |
- | This is closely related to the [[Cash Conversion Cycle (CCC)]], which is calculated as DIO + DSO - [[Days Payable Outstanding (DPO)]]. The operating cycle makes up the first two parts of this even more comprehensive metric. | + | The formula is: **CCC = Operating Cycle - DPO** |
- | ===== Putting It All Together: A Simple Example ===== | + | By understanding |
- | Let's look at two fictional T-shirt companies: **Speedy Tees** and **Slow Pokes Inc.** | + | |
- | * **Speedy Tees** is incredibly efficient. It takes them just 30 days to turn raw cotton into a finished shirt and get it sold (DIO = 30). They have strict payment terms with their retail partners and collect cash in an average of 15 days (DSO = 15). | + | |
- | - **Speedy Tees' | + | |
- | - This means every 45 days, Speedy Tees completes the full loop of turning its investment into cash. | + | |
- | * **Slow Pokes Inc.** is less organized. Their inventory sits for 60 days before being sold (DIO = 60), and they are lax on collecting payments, which takes them 45 days (DSO = 45). | + | |
- | - **Slow Pokes' Operating Cycle:** 60 (DIO) + 45 (DSO) = **105 days**. | + | |
- | - It takes Slow Pokes Inc. more than twice as long to get its cash back. This means it has to tie up far more money in working capital just to maintain the same level of sales as Speedy Tees, making it a much less attractive investment. | + | |
- | ===== Red Flags and Considerations ===== | + | |
- | Before you rush to judgment, keep these two points in mind: | + | |
- | * **Compare Apples to Apples:** The operating cycle varies dramatically across industries. A software company with instant digital delivery will have a different cycle than a heavy machinery manufacturer. The metric is most powerful when comparing | + | |
- | * **Watch the Trend:** A single number is a snapshot, but the trend is the story. As an investor, you want to see a stable or decreasing operating cycle over several years. A consistently increasing cycle can be a major red flag, signaling deteriorating business fundamentals, | + | |