Harte Hanks (HHS) Retained Earnings (2010 - 2026)
Harte Hanks' Retained Earnings came in at $808.18 million for Q2 2026, down 0.7% from $813.9 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Harte Hanks (HHS) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Harte Hanks' Retained Earnings was $813.81 million, down 0.1% from FY2024.
- Retained Earnings has declined in each of the last three years, though with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $814.62 million in FY2024 (-3.6%), $844.92 million in FY2023 (-0.2%), $846.49 million in FY2022 (+4.4%) and $811.09 million in FY2021 (+1.9%).
- The Q2 2026 figure represents the lowest quarterly Retained Earnings since Q2 2021.
- Year-over-year, Retained Earnings has declined for 11 consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q4 2022 (growth of 4.4%), and the weakest in Q1 2025 (a decline of 3.6%).
- Business Quant data shows HHS's Retained Earnings at $813.18 million (Q1 2026), $813.81 million (Q4 2025) and $811.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 24.03 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 13.07 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 5.69 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 673.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 794.96 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 652.31 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 750.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.22 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Harte Hanks | 34.36 Mn | 12.54 Mn | - | 808.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 808.18 Mn |
| Mar 31, 2026 | 813.18 Mn |
| Dec 31, 2025 | 813.81 Mn |
| Sep 30, 2025 | 811.61 Mn |
| Jun 30, 2025 | 813.90 Mn |
| Mar 31, 2025 | 814.23 Mn |
| Dec 31, 2024 | 814.62 Mn |
| Sep 30, 2024 | 817.06 Mn |
| Jun 30, 2024 | 816.92 Mn |
| Mar 31, 2024 | 844.75 Mn |
| Dec 31, 2023 | 844.92 Mn |
| Sep 30, 2023 | 846.90 Mn |
| Jun 30, 2023 | 846.28 Mn |
| Mar 31, 2023 | 845.70 Mn |
| Dec 31, 2022 | 846.49 Mn |
| Sep 30, 2022 | 826.07 Mn |
| Jun 30, 2022 | 818.90 Mn |
| Mar 31, 2022 | 814.44 Mn |
| Dec 31, 2021 | 811.09 Mn |
| Sep 30, 2021 | 809.34 Mn |
API Access
Harte Hanks Retained 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=retained-earnings&ticker=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();