Harte Hanks (HHS) Buildings (2010 - 2025)
Harte Hanks (HHS) reported Buildings of $5.28 million for Q4 2025, up 16.1% from $4.55 million a year earlier.
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Analysis
Harte Hanks (HHS) Buildings (2010 - 2025) Analysis & Trends
Dating back to Q4 2010, Harte Hanks' Buildings record includes 16 quarters.
- Buildings has a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- By year, Buildings came in at $4.55 million in FY2024 (-1.8%), $4.64 million in FY2023 (+5.7%), $4.39 million in FY2022 (-31.8%) and $6.43 million in FY2021 (-27.6%).
- The Q4 2025 figure ranks as the highest quarterly Buildings since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Harte Hanks | 34.29 Mn | 12.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.28 Mn |
| Dec 31, 2024 | 4.55 Mn |
| Dec 31, 2023 | 4.64 Mn |
| Dec 31, 2022 | 4.39 Mn |
| Dec 31, 2021 | 6.43 Mn |
| Dec 31, 2020 | 8.88 Mn |
| Dec 31, 2019 | 13.79 Mn |
| Dec 31, 2018 | 15.74 Mn |
| Dec 31, 2017 | 16.82 Mn |
| Dec 31, 2016 | 18.67 Mn |
| Dec 31, 2015 | 16.63 Mn |
| Dec 31, 2014 | 17.11 Mn |
| Dec 31, 2013 | 16.19 Mn |
| Dec 31, 2012 | 19.71 Mn |
| Dec 31, 2011 | 34.22 Mn |
| Dec 31, 2010 | 37.38 Mn |
API Access
Harte Hanks Buildings 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=buildings&ticker=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();