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
Some say volatility, rather than debt, is the best way to think about risk as an investor, but Warren Buffett famously said that 'Volatility is far from synonymous with risk.' When we think about how risky a company is, we always like to look at its use of debt, since debt overload can lead to ruin. As with many other companies Automatic Data Processing, Inc. (NASDAQ:ADP) makes use of debt. But the more important question is: how much risk is that debt creating?
有人說,波動性,而不是債務,是投資者思考風險的最佳方式,但禾倫·巴菲特曾說過一句名言:「波動性遠非風險的代名詞。」當我們思考一家公司的風險有多大時,我們總是喜歡考慮其債務的用途,因爲債務過載可能導致破產。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。但更重要的問題是:這筆債務會帶來多大的風險?
When Is Debt A Problem?
債務何時成爲問題?
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. Part and parcel of capitalism is the process of 'creative destruction' where failed businesses are mercilessly liquidated by their bankers. 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. Having said that, the most common situation is where a company manages its debt reasonably well - and to its own advantage. 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。資本主義的組成部分是 「創造性破壞」 過程,在這種過程中,倒閉的企業被銀行家無情地清算。但是,更頻繁(但仍然昂貴)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。話雖如此,最常見的情況是公司合理地管理債務,而且對自己有利。考慮公司的債務水平的第一步是同時考慮其現金和債務。
What Is Automatic Data Processing's Net Debt?
什麼是自動數據處理的淨負債?
You can click the graphic below for the historical numbers, but it shows that as of September 2024 Automatic Data Processing had US$9.04b of debt, an increase on US$3.33b, over one year. On the flip side, it has US$6.77b in cash leading to net debt of about US$2.27b.
你可以點擊下圖查看歷史數字,但它顯示,截至2024年9月,自動數據處理在一年內有90.4億美元的債務,比33.3億美元有所增加。另一方面,它擁有67.7億美元的現金,淨負債約爲22.7億美元。
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?
The latest balance sheet data shows that Automatic Data Processing had liabilities of US$39.4b due within a year, and liabilities of US$4.79b falling due after that. Offsetting this, it had US$6.77b in cash and US$3.32b in receivables that were due within 12 months. So it has liabilities totalling US$34.1b more than its cash and near-term receivables, combined.
最新的資產負債表數據顯示,自動數據處理在一年內到期的負債爲394億美元,之後到期的負債爲47.9億美元。與此相抵消的是,它有67.7億美元的現金和33.2億美元的應收賬款將在12個月內到期。因此,它的負債總額比其現金和短期應收賬款的總和多出341億美元。
Automatic Data Processing has a very large market capitalization of US$119.8b, so it could very likely raise cash to ameliorate its balance sheet, if the need arose. But we definitely want to keep our eyes open to indications that its debt is bringing too much risk.
自動數據處理的市值非常大,爲1198億美元,因此,如果需要,它很可能會籌集資金以改善其資產負債表。但是,我們絕對希望留意其債務帶來過大風險的跡象。
In order to size up a company's debt relative to its earnings, we calculate its net debt divided by its earnings before interest, tax, depreciation, and amortization (EBITDA) and its earnings before interest and tax (EBIT) divided by its interest expense (its interest cover). Thus we consider debt relative to earnings both with and without depreciation and amortization expenses.
爲了擴大公司相對於收益的負債規模,我們計算其淨負債除以其扣除利息、稅項、折舊和攤銷前的收益(EBITDA)和其利息和稅前收益(EBIT)除以其利息支出(利息保障)。因此,無論是否有折舊和攤銷費用,我們都將債務與收益的關係考慮在內。
Automatic Data Processing has a low net debt to EBITDA ratio of only 0.40. And its EBIT covers its interest expense a whopping 42.7 times over. So you could argue it is no more threatened by its debt than an elephant is by a mouse. And we also note warmly that Automatic Data Processing grew its EBIT by 11% last year, making its debt load easier to handle. There's no doubt that we learn most about debt from the balance sheet. 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're focused on the future you can check out this free report showing analyst profit forecasts.
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0.40。其息稅前利潤支付了高達42.7倍的利息支出。因此,你可以爭辯說,它受到債務的威脅並不比大象受到老鼠的威脅更大。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11%,使其債務負擔更易於處理。毫無疑問,我們從資產負債表中學到的關於債務的知識最多。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,如果您專注於未來,可以查看這份顯示分析師利潤預測的免費報告。
But our final consideration is also important, because a company cannot pay debt with paper profits; it needs cold hard cash. So it's worth checking how much of that EBIT is backed by free cash flow. During the last three years, Automatic Data Processing produced sturdy free cash flow equating to 76% 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.
但是我們最終的考慮因素也很重要,因爲公司無法用紙面利潤來償還債務;它需要冷硬現金。因此,值得檢查一下該息稅前利潤中有多少是由自由現金流支持的。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76%,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
Automatic Data Processing's interest cover suggests it can handle its debt as easily as Cristiano Ronaldo could score a goal against an under 14's goalkeeper. And that's just the beginning of the good news since its conversion of EBIT to free cash flow is also very heartening. Looking at the bigger picture, we think Automatic Data Processing's use of debt seems quite reasonable and we're not concerned about it. While debt does bring risk, when used wisely it can also bring a higher return on equity. When analysing debt levels, the balance sheet is the obvious place to start. However, not all investment risk resides within the balance sheet - far from it. For instance, we've identified 1 warning sign for Automatic Data Processing that you should be aware of.
自動數據處理的利息保障表明,它可以像克里斯蒂亞諾·羅納爾多在對陣14歲以下的守門員的比賽中進球一樣輕鬆地處理債務。這僅僅是好消息的開始,因爲將息稅前利潤轉換爲自由現金流也非常令人鼓舞。從大局來看,我們認爲自動數據處理對債務的使用似乎相當合理,我們對此並不擔心。雖然債務確實會帶來風險,但如果明智地使用,它也可以帶來更高的股本回報率。在分析債務水平時,資產負債表是顯而易見的起點。但是,並非所有的投資風險都存在於資產負債表中,遠非如此。例如,我們已經確定了 1 個您應該注意的自動數據處理警告標誌。
Of course, if you're the type of investor who prefers buying stocks without the burden of debt, then don't hesitate to discover our exclusive list of net cash growth stocks, today.
當然,如果你是那種喜歡在沒有債務負擔的情況下購買股票的投資者,那麼立即查看我們的淨現金增長股票的獨家清單。
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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提供基於歷史數據和分析師預測的評論,我們的文章並非旨在提供財務建議。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,我們的分析可能不會考慮最新的價格敏感型公司公告或定性材料。華爾街只是沒有持有上述任何股票的頭寸。