Harte Hanks (HHS) Return on Sales [ROS] (2010 - 2026)
Harte Hanks' Return on Sales [ROS] came in at -11.82% for Q2 2026, down 11.91 percentage points from 0.09% a year earlier and down 9.76 percentage points from the prior quarter.
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Analysis
Harte Hanks (HHS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Harte Hanks reported Return on Sales [ROS] of -3.15%, down 3.34 percentage points year-over-year; for FY2025, it was 0.24%, down 0.89 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last three years, though with a five-year change of +6.22 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 1.13% in FY2024 (-0.62 pp), 1.75% in FY2023 (-5.57 pp), 7.32% in FY2022 (+3.40 pp) and 3.93% in FY2021 (+9.90 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2020.
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -2.29 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2022 (a gain of 9.96 percentage points), and the weakest in Q2 2026 (a drop of 11.91 percentage points).
- Business Quant data shows HHS's Return on Sales [ROS] at -2.06% (Q1 2026), -0.29% (Q4 2025) and 1.29% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Harte Hanks | 33.99 Mn | 12.17 Mn | - | -11.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.82% |
| Mar 31, 2026 | -2.06% |
| Dec 31, 2025 | -0.29% |
| Sep 30, 2025 | 1.29% |
| Jun 30, 2025 | 0.09% |
| Mar 31, 2025 | -0.10% |
| Dec 31, 2024 | -3.30% |
| Sep 30, 2024 | 3.98% |
| Jun 30, 2024 | 3.05% |
| Mar 31, 2024 | 0.83% |
| Dec 31, 2023 | -4.60% |
| Sep 30, 2023 | 6.18% |
| Jun 30, 2023 | 3.50% |
| Mar 31, 2023 | 2.23% |
| Dec 31, 2022 | 6.26% |
| Sep 30, 2022 | 7.00% |
| Jun 30, 2022 | 8.26% |
| Mar 31, 2022 | 7.94% |
| Dec 31, 2021 | 5.51% |
| Sep 30, 2021 | 8.52% |
API Access
Harte Hanks Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();