H&R Block (HRB) Amortization - Intangibles (2013 - 2018)
H&R Block's Amortization - Intangibles was $16.44 million in fiscal Q3 2018 (quarter ended Jan 31, 2018), up 7.2% from $15.33 million a year earlier and up 9.2% from the prior quarter.
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Analysis
H&R Block (HRB) Amortization - Intangibles (2013 - 2018) Analysis & Trends
On a trailing twelve-month basis, H&R Block's Amortization - Intangibles was $63.88 million through Jan 31, 2018, up 8.0% year-over-year; for FY2017 (ended Apr 30, 2017), it came in at $62.38 million, up 8.1% from FY2016.
- Amortization - Intangibles has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 25.7% (FY2012 to FY2017).
- In earlier fiscal years, Amortization - Intangibles was $57.69 million in FY2016 (+20.3%), $47.94 million in FY2015 (+114.6%), $22.35 million in FY2014 (+30.1%) and $17.18 million in FY2013 (-13.4%).
- Quarterly Amortization - Intangibles has moved between $4.25 million (fiscal Q1 2014) and $17.39 million (fiscal Q4 2017) over five years.
- Compared with a year earlier, Amortization - Intangibles was higher in five of the last eight quarters, with growth averaging 5.2%.
- The best year-over-year quarter for Amortization - Intangibles over five years was fiscal Q2 2015 (growth of 129.6%); the worst was fiscal Q3 2017 (a decline of 7.1%).
- Per Business Quant data, HRB's Amortization - Intangibles in the three fiscal quarters before Q3 2018 was $15.06 million (Q2 2018), $14.98 million (Q1 2018) and $17.39 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 157.60 Bn | 116.88 Bn | 6.13 Bn |
| 2 | Cintas | 89.52 Bn | 88.60 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.94 Bn | 32.13 Bn | 1.07 Bn |
| 4 | Rollins | 16.91 Bn | 16.45 Bn | 569.95 Mn |
| 5 | APi | 16.76 Bn | 13.80 Bn | 703.00 Mn |
| 6 | Gartner | 15.49 Bn | 9.18 Bn | 1.19 Bn |
| 7 | UL Solutions | 14.82 Bn | 13.57 Bn | 417.00 Mn |
| 8 | Aramark | 13.80 Bn | 11.74 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - |
| 10 | H&R Block | 6.40 Bn | 3.85 Bn | 594.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2018 | 16.44 Mn |
| Oct 31, 2017 | 15.06 Mn |
| Jul 31, 2017 | 14.98 Mn |
| Apr 30, 2017 | 17.39 Mn |
| Jan 31, 2017 | 15.33 Mn |
| Oct 31, 2016 | 15.84 Mn |
| Jul 31, 2016 | 13.82 Mn |
| Apr 30, 2016 | 14.18 Mn |
| Jan 31, 2016 | 16.51 Mn |
| Oct 31, 2015 | 13.99 Mn |
| Jul 31, 2015 | 13.01 Mn |
| Apr 30, 2015 | 14.73 Mn |
| Jan 31, 2015 | 14.11 Mn |
| Oct 31, 2014 | 10.50 Mn |
| Jul 31, 2014 | 8.60 Mn |
| Apr 30, 2014 | 6.97 Mn |
| Jan 31, 2014 | 6.54 Mn |
| Oct 31, 2013 | 4.57 Mn |
| Jul 31, 2013 | 4.25 Mn |
API Access
H&R Block Amortization - Intangibles 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=amortization-intangibles&ticker=HRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=HRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();