Harte Hanks (HHS) EBITDA Margin (2010 - 2026)
Harte Hanks' EBITDA Margin was -8.87% in Q2 2026, down 11.71 percentage points from 2.84% a year earlier and down 9.71 percentage points from the prior quarter.
Harte Hanks (HHS) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Harte Hanks' EBITDA Margin was -0.21% through Jun 30, 2026, down 2.94 percentage points year-over-year; for FY2025, it came in at 3.04%, down 0.45 percentage points from FY2024.
- EBITDA Margin has now declined for three consecutive years, though with a five-year change of +6.98 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 3.50% in FY2024 (-0.47 pp), 3.97% in FY2023 (-4.68 pp), 8.65% in FY2022 (+3.41 pp) and 5.24% in FY2021 (+9.18 pp).
- The Q2 2026 figure marks the lowest quarterly EBITDA Margin since Q2 2020.
- Compared with a year earlier, EBITDA Margin was higher in two of the last eight quarters, with an average year-over-year change of -1.95 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2022 (a gain of 9.58 percentage points); the worst was Q2 2026 (a drop of 11.71 percentage points).
- Per Business Quant data, HHS's EBITDA Margin in the three quarters before Q2 2026 was 0.84% (Q1 2026), 2.53% (Q4 2025) and 4.37% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 20.09% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 27.67% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 32.67% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 11.71% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 21.79% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 6.95% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 24.02% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 25.28% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Harte Hanks | 34.29 Mn | 12.47 Mn | - | -8.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.87% |
| Mar 31, 2026 | 0.84% |
| Dec 31, 2025 | 2.53% |
| Sep 30, 2025 | 4.37% |
| Jun 30, 2025 | 2.84% |
| Mar 31, 2025 | 2.46% |
| Dec 31, 2024 | -0.58% |
| Sep 30, 2024 | 6.17% |
| Jun 30, 2024 | 5.32% |
| Mar 31, 2024 | 3.13% |
| Dec 31, 2023 | -2.21% |
| Sep 30, 2023 | 8.20% |
| Jun 30, 2023 | 5.66% |
| Mar 31, 2023 | 4.50% |
| Dec 31, 2022 | 8.02% |
| Sep 30, 2022 | 8.08% |
| Jun 30, 2022 | 9.47% |
| Mar 31, 2022 | 9.16% |
| Dec 31, 2021 | 6.64% |
| Sep 30, 2021 | 9.74% |
Harte Hanks EBITDA Margin 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=ebitda-margin&ticker=HHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();