Harte Hanks (HHS) Selling, General & Administrative (2019 - 2026)
Harte Hanks (HHS) reported Selling, General & Administrative of $8.79 million for Q2 2026, up 58.6% from $5.54 million a year earlier and up 55.7% from the prior quarter.
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Analysis
Harte Hanks (HHS) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Harte Hanks' Selling, General & Administrative came in at $25.25 million, up 12.9% year-over-year; for FY2025, it was $22.21 million, down 2.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $22.78 million in FY2024 (+10.2%), $20.67 million in FY2023 (-5.6%), $21.89 million in FY2022 (+22.6%) and $17.86 million in FY2021 (-17.0%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2019.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with growth averaging 9.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 58.6%); the low point was Q4 2021 (a decline of 22.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.64 million (Q1 2026), $5.68 million (Q4 2025) and $5.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 78.63 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 334.98 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Harte Hanks | 33.99 Mn | 12.17 Mn | - | 8.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.79 Mn |
| Mar 31, 2026 | 5.64 Mn |
| Dec 31, 2025 | 5.68 Mn |
| Sep 30, 2025 | 5.15 Mn |
| Jun 30, 2025 | 5.54 Mn |
| Mar 31, 2025 | 5.84 Mn |
| Dec 31, 2024 | 5.73 Mn |
| Sep 30, 2024 | 5.26 Mn |
| Jun 30, 2024 | 5.85 Mn |
| Mar 31, 2024 | 5.94 Mn |
| Dec 31, 2023 | 4.60 Mn |
| Sep 30, 2023 | 4.92 Mn |
| Jun 30, 2023 | 5.07 Mn |
| Mar 31, 2023 | 6.08 Mn |
| Dec 31, 2022 | 4.65 Mn |
| Sep 30, 2022 | 5.97 Mn |
| Jun 30, 2022 | 5.34 Mn |
| Mar 31, 2022 | 5.93 Mn |
| Dec 31, 2021 | 4.63 Mn |
| Sep 30, 2021 | 4.52 Mn |
API Access
Harte Hanks Selling, General & Administrative 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=selling-general-and-administrative&ticker=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();