Harte Hanks (HHS) Return on Capital Employed [ROCE] (2011 - 2026)
Harte Hanks (HHS) reported Return on Capital Employed [ROCE] of -8.95% for Q2 2026, down 9.46 percentage points from 0.51% a year earlier and down 8.38 percentage points from the prior quarter.
Harte Hanks (HHS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Harte Hanks posted Return on Capital Employed [ROCE] of 0.58%, down 2.13 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined for three consecutive years, though with a five-year change of +16.21 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 2.71% in FY2024 (-1.87 pp), 4.59% in FY2023 (-16.89 pp), 21.47% in FY2022 (+10.75 pp) and 10.72% in FY2021 (+26.35 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2021.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last 14 quarters, with an average year-over-year change of -4.30 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2022 (a gain of 28.89 percentage points); the low point was Q4 2023 (a drop of 16.09 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -0.57% (Q1 2026), 0.62% (Q4 2025) and -1.73% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 23.33% |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 34.24% |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 8.28% |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 30.79% |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 8.90% |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 22.24% |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 7.98% |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 35.82% |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Harte Hanks | 29.72 Mn | 7.90 Mn | - | -8.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.95% |
| Mar 31, 2026 | -0.57% |
| Dec 31, 2025 | 0.62% |
| Sep 30, 2025 | -1.73% |
| Jun 30, 2025 | 0.51% |
| Mar 31, 2025 | 2.58% |
| Dec 31, 2024 | 3.00% |
| Sep 30, 2024 | 1.90% |
| Jun 30, 2024 | 3.17% |
| Mar 31, 2024 | 3.44% |
| Dec 31, 2023 | 4.89% |
| Sep 30, 2023 | 12.25% |
| Jun 30, 2023 | 13.35% |
| Mar 31, 2023 | 15.49% |
| Dec 31, 2022 | 20.98% |
| Sep 30, 2022 | 21.75% |
| Jun 30, 2022 | 21.12% |
| Mar 31, 2022 | 19.14% |
| Dec 31, 2021 | 11.28% |
| Sep 30, 2021 | 6.24% |
Harte Hanks Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=HHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();