Harte Hanks (HHS) Revenue (2010 - 2026)
Harte Hanks' Revenue was $37.98 million in Q2 2026, down 1.7% from $38.63 million a year earlier but up 1.9% from the prior quarter.
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Analysis
Harte Hanks (HHS) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Harte Hanks' Revenue was $154.63 million through Jun 30, 2026, down 11.6% year-over-year; for FY2025, it came in at $159.57 million, down 13.9% from FY2024.
- Revenue has now declined for three consecutive years, with a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In earlier years, Revenue was $185.24 million in FY2024 (-3.3%), $191.49 million in FY2023 (-7.2%), $206.28 million in FY2022 (+6.0%) and $194.6 million in FY2021 (+10.0%).
- Quarterly Revenue has moved between $37.26 million (Q1 2026) and $54.78 million (Q4 2022) over five years.
- Compared with a year earlier, Revenue has declined for seven straight quarters, with an average decline of 8.9% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q1 2022 (growth of 12.1%); the worst was Q3 2025 (a decline of 17.0%).
- Per Business Quant data, HHS's Revenue in the three quarters before Q2 2026 was $37.26 million (Q1 2026), $39.86 million (Q4 2025) and $39.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Harte Hanks | 34.29 Mn | 12.47 Mn | - | 37.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.98 Mn |
| Mar 31, 2026 | 37.26 Mn |
| Dec 31, 2025 | 39.86 Mn |
| Sep 30, 2025 | 39.52 Mn |
| Jun 30, 2025 | 38.63 Mn |
| Mar 31, 2025 | 41.56 Mn |
| Dec 31, 2024 | 47.13 Mn |
| Sep 30, 2024 | 47.63 Mn |
| Jun 30, 2024 | 45.04 Mn |
| Mar 31, 2024 | 45.45 Mn |
| Dec 31, 2023 | 49.49 Mn |
| Sep 30, 2023 | 47.12 Mn |
| Jun 30, 2023 | 47.76 Mn |
| Mar 31, 2023 | 47.12 Mn |
| Dec 31, 2022 | 54.78 Mn |
| Sep 30, 2022 | 53.89 Mn |
| Jun 30, 2022 | 48.55 Mn |
| Mar 31, 2022 | 49.06 Mn |
| Dec 31, 2021 | 51.99 Mn |
| Sep 30, 2021 | 49.60 Mn |
API Access
Harte Hanks Revenue 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=revenue&ticker=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();