Harte Hanks (HHS) Non-Current Assets (2010 - 2026)
Harte Hanks (HHS) posted Non-Current Assets of $42.7 million for Q2 2026, down 5.1% from $45.02 million a year earlier and down 4.3% from the prior quarter.
Powered by 
Analysis
Harte Hanks (HHS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Harte Hanks' Non-Current Assets came in at $45.51 million, down 5.5% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Harte Hanks' Non-Current Assets was $48.17 million in FY2024 (-16.3%), $57.54 million in FY2023 (+7.2%), $53.67 million in FY2022 (+65.2%) and $32.49 million in FY2021 (-2.3%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q3 2022.
- On a year-over-year basis, Non-Current Assets has declined in each of the last seven quarters, with an average decline of 9.1% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2023, with growth of 68.6%; the weakest was Q3 2025, with a decline of 19.0%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $44.62 million (Q1 2026), $45.51 million (Q4 2025) and $44.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 39.87 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 6.68 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 19.85 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.42 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 2.76 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.12 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.89 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.97 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 10.46 Bn |
| 10 | Harte Hanks | 34.29 Mn | 12.47 Mn | - | 42.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.70 Mn |
| Mar 31, 2026 | 44.62 Mn |
| Dec 31, 2025 | 45.51 Mn |
| Sep 30, 2025 | 44.01 Mn |
| Jun 30, 2025 | 45.02 Mn |
| Mar 31, 2025 | 46.87 Mn |
| Dec 31, 2024 | 48.17 Mn |
| Sep 30, 2024 | 54.30 Mn |
| Jun 30, 2024 | 54.70 Mn |
| Mar 31, 2024 | 55.67 Mn |
| Dec 31, 2023 | 57.54 Mn |
| Sep 30, 2023 | 48.62 Mn |
| Jun 30, 2023 | 50.71 Mn |
| Mar 31, 2023 | 52.70 Mn |
| Dec 31, 2022 | 53.67 Mn |
| Sep 30, 2022 | 30.51 Mn |
| Jun 30, 2022 | 30.28 Mn |
| Mar 31, 2022 | 31.26 Mn |
| Dec 31, 2021 | 32.49 Mn |
| Sep 30, 2021 | 29.99 Mn |
API Access
Harte Hanks Non-Current Assets 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=non-current-assets&ticker=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();