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We Think Automatic Data Processing (NASDAQ:ADP) Can Stay On Top Of Its Debt

We Think Automatic Data Processing (NASDAQ:ADP) Can Stay On Top Of Its Debt

我們認爲自動數據處理(納斯達克股票代碼:ADP)可以繼續償還債務
Simply Wall St ·  04/26 08:33

Legendary fund manager Li Lu (who Charlie Munger backed) once said, 'The biggest investment risk is not the volatility of prices, but whether you will suffer a permanent loss of capital.' So it seems the smart money knows that debt - which is usually involved in bankruptcies - is a very important factor, when you assess how risky a company is. As with many other companies Automatic Data Processing, Inc. (NASDAQ:ADP) makes use of debt. But should shareholders be worried about its use of debt?

傳奇基金經理李露(由查理·芒格支持)曾經說過:“最大的投資風險不是價格的波動,而是你是否會遭受永久的資本損失。”因此,當你評估公司的風險時,看來聰明的貨幣知道債務(通常涉及破產)是一個非常重要的因素。與許多其他公司一樣,自動數據處理公司(納斯達克股票代碼:ADP)也使用債務。但是,股東是否應該擔心其債務的使用?

Why Does Debt Bring Risk?

爲什麼債務會帶來風險?

Generally speaking, debt only becomes a real problem when a company can't easily pay it off, either by raising capital or with its own cash flow. In the worst case scenario, a company can go bankrupt if it cannot pay its creditors. However, a more frequent (but still costly) occurrence is where a company must issue shares at bargain-basement prices, permanently diluting shareholders, just to shore up its balance sheet. Of course, plenty of companies use debt to fund growth, without any negative consequences. The first step when considering a company's debt levels is to consider its cash and debt together.

一般而言,只有當公司無法通過籌集資金或利用自己的現金流輕鬆還清債務時,債務才會成爲真正的問題。在最壞的情況下,如果公司無法向債權人付款,它可能會破產。但是,更頻繁(但仍然代價高昂)的情況是,公司必須以低廉的價格發行股票,永久稀釋股東,以支撐其資產負債表。當然,許多公司使用債務爲增長提供資金,而不會產生任何負面後果。考慮公司債務水平的第一步是將其現金和債務放在一起考慮。

How Much Debt Does Automatic Data Processing Carry?

自動數據處理揹負了多少債務?

The chart below, which you can click on for greater detail, shows that Automatic Data Processing had US$3.01b in debt in December 2023; about the same as the year before. However, it does have US$1.67b in cash offsetting this, leading to net debt of about US$1.35b.

您可以點擊下圖以獲取更多詳細信息,該圖表顯示,自動數據處理在2023年12月的債務爲30.1億美元;與前一年大致相同。但是,它確實有16.7億美元的現金抵消了這一點,淨負債約爲13.5億美元。

debt-equity-history-analysis
NasdaqGS:ADP Debt to Equity History April 26th 2024
NASDAQGS: ADP 債權與股本比率歷史記錄 2024 年 4 月 26 日

How Healthy Is Automatic Data Processing's Balance Sheet?

自動數據處理的資產負債表有多健康?

Zooming in on the latest balance sheet data, we can see that Automatic Data Processing had liabilities of US$48.1b due within 12 months and liabilities of US$4.65b due beyond that. Offsetting these obligations, it had cash of US$1.67b as well as receivables valued at US$3.37b due within 12 months. So its liabilities outweigh the sum of its cash and (near-term) receivables by US$47.7b.

放大最新的資產負債表數據,我們可以看到,自動數據處理在12個月內到期的負債爲481億美元,之後到期的負債爲46.5億美元。除這些債務外,它有16.7億美元的現金和價值33.7億美元的應收賬款將在12個月內到期。因此,其負債超過其現金和(短期)應收賬款總額477億美元。

While this might seem like a lot, it is not so bad since Automatic Data Processing has a huge market capitalization of US$101.2b, and so it could probably strengthen its balance sheet by raising capital if it needed to. But we definitely want to keep our eyes open to indications that its debt is bringing too much risk. Carrying virtually no net debt, Automatic Data Processing has a very light debt load indeed.

儘管這可能看起來很多,但還不錯,因爲自動數據處理的市值爲1012億美元,因此如果需要,它可能會通過籌集資金來加強資產負債表。但是,我們絕對希望留意其債務帶來過大風險的跡象。自動數據處理幾乎沒有淨負債,其債務負擔確實很輕。

We use two main ratios to inform us about debt levels relative to earnings. The first is net debt divided by earnings before interest, tax, depreciation, and amortization (EBITDA), while the second is how many times its earnings before interest and tax (EBIT) covers its interest expense (or its interest cover, for short). Thus we consider debt relative to earnings both with and without depreciation and amortization expenses.

我們使用兩個主要比率來告知我們相對於收益的債務水平。第一個是淨負債除以利息、稅項、折舊和攤銷前的收益(EBITDA),第二個是其利息和稅前收益(EBIT)覆蓋其利息支出(或簡稱利息保障)的多少倍。因此,我們將債務與收益的關係考慮在內,包括和不包括折舊和攤銷費用。

Automatic Data Processing has a low net debt to EBITDA ratio of only 0.25. And its EBIT covers its interest expense a whopping 32.2 times over. So we're pretty relaxed about its super-conservative use of debt. And we also note warmly that Automatic Data Processing grew its EBIT by 15% last year, making its debt load easier to handle. The balance sheet is clearly the area to focus on when you are analysing debt. But it is future earnings, more than anything, that will determine Automatic Data Processing's ability to maintain a healthy balance sheet going forward. So if you want to see what the professionals think, you might find this free report on analyst profit forecasts to be interesting.

自動數據處理的淨負債與息稅折舊攤銷前利潤的比率很低,僅爲0.25。其息稅前利潤高達32.2倍的利息支出。因此,我們對它超保守的債務使用相當放鬆。我們還熱烈地注意到,去年,自動數據處理的息稅前利潤增長了15%,使其債務負擔更易於處理。資產負債表顯然是分析債務時需要關注的領域。但是,未來的收益比什麼都重要,將決定自動數據處理未來維持健康資產負債表的能力。因此,如果你想看看專業人士的想法,你可能會發現這份關於分析師利潤預測的免費報告很有趣。

Finally, while the tax-man may adore accounting profits, lenders only accept cold hard cash. So we always check how much of that EBIT is translated into free cash flow. During the last three years, Automatic Data Processing produced sturdy free cash flow equating to 71% of its EBIT, about what we'd expect. This free cash flow puts the company in a good position to pay down debt, when appropriate.

最後,儘管稅務人員可能喜歡會計利潤,但貸款人只接受冷硬現金。因此,我們總是檢查息稅前利潤中有多少轉化爲自由現金流。在過去的三年中,自動數據處理產生了穩健的自由現金流,相當於其息稅前利潤的71%,與我們的預期差不多。這種自由現金流使公司處於有利地位,可以在適當的時候償還債務。

Our View

我們的觀點

Happily, Automatic Data Processing's impressive interest cover implies it has the upper hand on its debt. But truth be told we feel its level of total liabilities does undermine this impression a bit. Taking all this data into account, it seems to us that Automatic Data Processing takes a pretty sensible approach to debt. While that brings some risk, it can also enhance returns for shareholders. Over time, share prices tend to follow earnings per share, so if you're interested in Automatic Data Processing, you may well want to click here to check an interactive graph of its earnings per share history.

令人高興的是,自動數據處理令人印象深刻的利息保障意味着它在債務上佔了上風。但說實話,我們認爲其總負債水平確實稍微削弱了這種印象。考慮到所有這些數據,在我們看來,自動數據處理採用了一種非常明智的方法來處理債務。儘管這帶來了一些風險,但也可以提高股東的回報。隨着時間的推移,股價往往會跟隨每股收益,因此,如果你對自動數據處理感興趣,你很可能想點擊這裏查看其每股收益歷史的交互式圖表。

At the end of the day, it's often better to focus on companies that are free from net debt. You can access our special list of such companies (all with a track record of profit growth). It's free.

歸根結底,通常最好將注意力集中在沒有淨負債的公司身上。您可以訪問我們的此類公司的特別名單(所有公司都有利潤增長記錄)。它是免費的。

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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Simply Wall St的這篇文章本質上是籠統的。我們僅使用公正的方法根據歷史數據和分析師的預測提供評論,我們的文章無意作爲財務建議。它不構成買入或賣出任何股票的建議,也沒有考慮到您的目標或財務狀況。我們的目標是爲您提供由基本數據驅動的長期重點分析。請注意,我們的分析可能不考慮最新的價格敏感型公司公告或定性材料。簡而言之,華爾街沒有持有任何上述股票的頭寸。

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