Insperity (NSP) Net Long-Term Debt Issued (Repaid) (2016 - 2019)
Insperity's Net Long-Term Debt Issued (Repaid) came in at $100 million for FY2020, down 20.0% from $125 million in FY2019.
Analysis
Insperity (NSP) Net Long-Term Debt Issued (Repaid) (2016 - 2019) Analysis & Trends
Going back to FY2009, Insperity's Net Long-Term Debt Issued (Repaid) data covers 5 years.
- Net Long-Term Debt Issued (Repaid) carries a four-year compound annual growth rate of -5.3% (FY2016 to FY2020).
- The five-year range for annual Net Long-Term Debt Issued (Repaid) is $40 million (FY2018) to $125 million (FY2019).
- Per Business Quant, earlier years put Net Long-Term Debt Issued (Repaid) at $125 million in FY2019 (+212.5%), $40 million in FY2018 and $124.4 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 4.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 570.11 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | - |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | -7.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 463.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | -9.27 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | - |
| 10 | Insperity | 1.94 Bn | -497.72 Mn | 207.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 30.00 Mn |
| Dec 31, 2018 | 40.00 Mn |
| Mar 31, 2016 | 144.40 Mn |
API Access
Insperity Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=NSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "NSP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=NSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();