Harte Hanks (HHS) Net Long-Term Debt Issued (Repaid) (2011 - 2022)
Harte Hanks' Non-Current Debt came in at -$126,000 for Q1 2018, compared with -$129,000 a year earlier.
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Analysis
Harte Hanks (HHS) Net Long-Term Debt Issued (Repaid) (2011 - 2022) Analysis & Trends
Over the trailing twelve months to Mar 31, 2018, Harte Hanks reported Non-Current Debt of $8.15 million.
- The Q1 2018 figure represents the highest quarterly Non-Current Debt since Q3 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 4.98 Bn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 570.11 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | - |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | -7.00 Mn |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 463.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | -9.27 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | - |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Harte Hanks | 29.72 Mn | 7.90 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | -5.00 Mn |
| Dec 31, 2021 | -8.10 Mn |
| Sep 30, 2020 | -100,000.00 |
| Jun 30, 2020 | -1.39 Mn |
| Mar 31, 2020 | -110,000.00 |
| Dec 31, 2019 | -463,000.00 |
| Sep 30, 2019 | -117,000.00 |
| Jun 30, 2019 | -19,000.00 |
| Mar 31, 2019 | 4.29 Mn |
| Dec 31, 2018 | 14.03 Mn |
| Sep 30, 2018 | -377,000.00 |
| Dec 31, 2017 | -12.12 Mn |
| Sep 30, 2017 | -7.34 Mn |
| Jun 30, 2017 | -8.26 Mn |
| Mar 31, 2017 | -129,000.00 |
| Dec 31, 2016 | -63.22 Mn |
| Sep 30, 2016 | -77.01 Mn |
| Jun 30, 2016 | -20.50 Mn |
| Mar 31, 2016 | -77.31 Mn |
| Dec 31, 2015 | 1.41 Mn |
API Access
Harte Hanks 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=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "HHS", "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=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();