Harte Hanks (HHS) Debt Ratio (2010 - 2026)
Harte Hanks' (HHS) Debt Ratio came in at 0.03 for Q2 2026.
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Analysis
Harte Hanks (HHS) Debt Ratio (2010 - 2026) Analysis & Trends
For FY2021, Harte Hanks' Debt Ratio stood at 0.05, down 79.6% from FY2020.
- In prior years, Harte Hanks' Debt Ratio was 0.23 in FY2020 (+33.6%), 0.17 in FY2019 (+49.6%) and 0.11 in FY2018.
- The Q2 2026 figure stands as the highest quarterly Debt Ratio in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 0.14 |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 0.23 |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 0.81 |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 0.22 |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 0.35 |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 0.21 |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 0.44 |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 0.42 |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | -0.13 |
| 10 | Harte Hanks | 29.72 Mn | 7.90 Mn | - | 0.03 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.03 |
| Jun 30, 2022 | 0.09 |
| Mar 31, 2022 | 0.04 |
| Dec 31, 2021 | 0.05 |
| Sep 30, 2021 | 0.12 |
| Jun 30, 2021 | 0.12 |
| Mar 31, 2021 | 0.23 |
| Dec 31, 2020 | 0.23 |
| Sep 30, 2020 | 0.24 |
| Jun 30, 2020 | 0.23 |
| Mar 31, 2020 | 0.16 |
| Dec 31, 2019 | 0.17 |
| Sep 30, 2019 | 0.17 |
| Jun 30, 2019 | 0.15 |
| Mar 31, 2019 | 0.14 |
| Dec 31, 2018 | 0.11 |
| Sep 30, 2017 | 0.07 |
| Jun 30, 2017 | 0.07 |
| Sep 30, 2016 | 0.16 |
| Jun 30, 2016 | 0.18 |
API Access
Harte Hanks Debt Ratio 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=debt-ratio&ticker=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();