H&R Block (HRB) Short-Term Debt repayments (2009 - 2016)
H&R Block (HRB) posted Short-Term Debt repayments of $830 million for FY2018 (year ended Apr 30, 2018), down 51.2% from $1.7 billion in FY2017.
Analysis
H&R Block (HRB) Short-Term Debt repayments (2009 - 2016) Analysis & Trends
Since FY2009, H&R Block has reported Short-Term Debt repayments for 10 fiscal years.
- Annual Short-Term Debt repayments shows a five-year compound annual growth rate of -7.3% (FY2013 to FY2018).
- The FY2018 figure stands as the lowest annual Short-Term Debt repayments since FY2014.
- Business Quant data shows HRB's Short-Term Debt repayments at $1.7 billion in FY2017 (+16.0%), $1.47 billion in FY2016 (+39.6%), $1.05 billion in FY2015 (+232.0%) and $316 million in FY2014 (-74.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | - |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | - |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | - |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | - |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | - |
| 10 | H&R Block | 6.17 Bn | 3.62 Bn | 594.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2016 | 1.47 Bn |
| Apr 30, 2015 | 591.56 Mn |
| Apr 30, 2014 | 235.07 Mn |
| Apr 30, 2013 | 424.97 Mn |
| Apr 30, 2012 | 275.95 Mn |
| Jan 31, 2012 | 375.23 Mn |
| Apr 30, 2011 | 2.21 Bn |
| Jan 31, 2011 | 2.73 Bn |
| Apr 30, 2010 | 4.69 Bn |
| Jan 31, 2010 | 982.77 Mn |
| Apr 30, 2009 | 3.87 Bn |
| Jan 31, 2009 | 828.98 Mn |
API Access
H&R Block Short-Term Debt repayments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=HRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "HRB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=HRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();