Harte Hanks (HHS) Other Operating Expenses (2010 - 2026)
Harte Hanks (HHS) recorded Other Operating Expenses of $33.49 million in Q2 2026, up 5.2% from $31.85 million a year earlier and up 4.0% from the prior quarter.
Harte Hanks (HHS) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Harte Hanks' Other Operating Expenses came in at $131.05 million as of Jun 30, 2026, down 11.2% year-over-year; for FY2025, it came in at $131.08 million, down 15.1% from FY2024.
- Annual Other Operating Expenses has declined for three straight years, with a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $154.47 million in FY2024 (-2.5%), $158.36 million in FY2023 (-5.0%), $166.78 million in FY2022 (+4.1%) and $160.14 million in FY2021 (+4.7%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q1 2025.
- On a year-over-year basis, Other Operating Expenses rose in three of the last eight quarters, with an average decline of 7.0%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 10.8% in Q3 2022, against a decline of 21.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.19 million (Q1 2026), $33.27 million (Q4 2025) and $32.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Harte Hanks | 33.92 Mn | 12.09 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.49 Mn |
| Mar 31, 2026 | 32.19 Mn |
| Dec 31, 2025 | 33.27 Mn |
| Sep 30, 2025 | 32.11 Mn |
| Jun 30, 2025 | 31.85 Mn |
| Mar 31, 2025 | 34.92 Mn |
| Dec 31, 2024 | 42.27 Mn |
| Sep 30, 2024 | 38.60 Mn |
| Jun 30, 2024 | 36.36 Mn |
| Mar 31, 2024 | 37.24 Mn |
| Dec 31, 2023 | 41.12 Mn |
| Sep 30, 2023 | 38.33 Mn |
| Jun 30, 2023 | 39.99 Mn |
| Mar 31, 2023 | 38.92 Mn |
| Dec 31, 2022 | 45.96 Mn |
| Sep 30, 2022 | 43.56 Mn |
| Jun 30, 2022 | 38.62 Mn |
| Mar 31, 2022 | 38.64 Mn |
| Dec 31, 2021 | 42.38 Mn |
| Sep 30, 2021 | 39.31 Mn |
Harte Hanks Other Operating Expenses 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=other-operating-expenses&ticker=HHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();