Harte Hanks (HHS) EPS (Diluted) (2010 - 2026)
Harte Hanks' EPS (Diluted) was -$0.67 in Q2 2026, compared with -$0.05 a year earlier.
Analysis
Harte Hanks (HHS) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Harte Hanks' EPS (Diluted) was -$0.77 through Jun 30, 2026; for FY2025, it was -$0.11.
- In earlier years, EPS (Diluted) was -$4.15 in FY2024, -$0.21 in FY2023, $4.75 in FY2022 (+171.2%) and $1.75 in FY2021.
- The Q2 2026 figure marks the lowest quarterly EPS (Diluted) since Q2 2024.
- Per Business Quant data, HHS's EPS (Diluted) in the three quarters before Q2 2026 was -$0.08 (Q1 2026), $0.30 (Q4 2025) and -$0.31 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.80 |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.26 |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 0.34 |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 0.20 |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 0.30 |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 0.36 |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.21 |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 4.14 |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Harte Hanks | 34.29 Mn | 12.47 Mn | - | -0.67 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.67 |
| Mar 31, 2026 | -0.08 |
| Dec 31, 2025 | 0.30 |
| Sep 30, 2025 | -0.31 |
| Jun 30, 2025 | -0.05 |
| Mar 31, 2025 | -0.05 |
| Dec 31, 2024 | -0.33 |
| Sep 30, 2024 | 0.02 |
| Jun 30, 2024 | -3.78 |
| Mar 31, 2024 | -0.02 |
| Dec 31, 2023 | -0.27 |
| Sep 30, 2023 | 0.08 |
| Jun 30, 2023 | 0.08 |
| Mar 31, 2023 | -0.11 |
| Dec 31, 2022 | 3.03 |
| Sep 30, 2022 | 0.82 |
| Jun 30, 2022 | 0.51 |
| Mar 31, 2022 | 0.39 |
| Dec 31, 2021 | 0.20 |
| Sep 30, 2021 | 0.52 |
API Access
Harte Hanks EPS (Diluted) 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=eps-diluted&ticker=HHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();