Harte Hanks (HHS) Price to Earnings (2011 - 2023)
Harte Hanks' Price to Earnings came in at 2.04 for Q3 2023, down 63.9% from 5.66 a year earlier but up 47.8% from the prior quarter.
Analysis
Harte Hanks (HHS) Price to Earnings (2011 - 2023) Analysis & Trends
For FY2022, Harte Hanks' Price to Earnings was 2.54, down 39.5% from FY2021.
- Going back by year, Price to Earnings was 4.20 in FY2021 and 1.02 in FY2018.
- The five-year range for quarterly Price to Earnings is 0.89 (Q4 2018) to 7.60 (Q2 2022).
- Year-over-year, Price to Earnings has declined for four consecutive quarters, with an average decline of 28.1% over the last six quarters.
- Business Quant data shows HHS's Price to Earnings at 1.38 (Q2 2023), 2.22 (Q1 2023) and 2.54 (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 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 | - |
| 10 | Harte Hanks | 33.99 Mn | 12.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 2.04 |
| Jun 30, 2023 | 1.38 |
| Mar 31, 2023 | 2.22 |
| Dec 31, 2022 | 2.54 |
| Sep 30, 2022 | 5.66 |
| Jun 30, 2022 | 7.60 |
| Mar 31, 2022 | 3.11 |
| Dec 31, 2021 | 4.28 |
| Sep 30, 2021 | 4.59 |
| Jun 30, 2021 | 6.17 |
| Dec 31, 2018 | 0.89 |
| Jun 30, 2015 | 26.35 |
| Mar 31, 2015 | 20.35 |
| Dec 31, 2014 | 19.94 |
| Sep 30, 2014 | 19.32 |
| Jun 30, 2014 | 76.50 |
| Mar 31, 2014 | 64.93 |
| Dec 31, 2013 | 36.60 |
| Sep 30, 2013 | 31.56 |
| Jun 30, 2013 | 15.57 |
API Access
Harte Hanks Price to Earnings 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=price-to-earnings&ticker=HHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();