George Risk Industries (RSKIA) Long-Term Investments (2015 - 2020)
George Risk Industries (RSKIA) reported Long-Term Investments of $320,000 for fiscal Q4 2020 (quarter ended Apr 30, 2020), up 9.2% from $293,000 a year earlier and unchanged from the prior quarter.
George Risk Industries (RSKIA) Long-Term Investments (2015 - 2020) Analysis & Trends
Dating back to fiscal Q4 2015, George Risk Industries' Long-Term Investments record includes 18 quarters.
- Long-Term Investments has a five-year compound annual growth rate of 4.8% (FY2015 to FY2020).
- By fiscal year, Long-Term Investments came in at $293,000 in FY2019 (unchanged), $293,000 in FY2018 (+7.3%), $273,000 in FY2017 (+7.9%) and $253,000 in FY2016 (unchanged).
- Year over year, Long-Term Investments has now increased in each of the last three quarters, with growth averaging 6.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Long-Term Investments ran from 0.0% in fiscal Q4 2016 to 9.2% in fiscal Q4 2020.
- Per Business Quant data, the three fiscal quarters before Q4 2020 came in at $320,000 (Q3 2020), $320,000 (Q2 2020) and $293,000 (Q1 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 925.32 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 438.66 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | - |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 28.00 Mn |
| 10 | George Risk Industries | 102.66 Mn | -85.62 Mn | 3.23 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2020 | 320,000.00 |
| Jan 31, 2020 | 320,000.00 |
| Oct 31, 2019 | 320,000.00 |
| Jul 31, 2019 | 293,000.00 |
| Apr 30, 2019 | 293,000.00 |
| Jan 31, 2019 | 293,000.00 |
| Oct 31, 2018 | 293,000.00 |
| Jul 31, 2018 | 293,000.00 |
| Apr 30, 2018 | 293,000.00 |
| Jan 31, 2018 | 273,000.00 |
| Oct 31, 2017 | 273,000.00 |
| Jul 31, 2017 | 273,000.00 |
| Apr 30, 2017 | 273,000.00 |
| Jan 31, 2017 | 273,000.00 |
| Oct 31, 2016 | 273,000.00 |
| Jul 31, 2016 | 253,000.00 |
| Apr 30, 2016 | 253,000.00 |
| Apr 30, 2015 | 253,000.00 |
George Risk Industries Long-Term Investments 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=long-term-investments&ticker=RSKIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "RSKIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=RSKIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();