Hackett (HCKT) Return on Sales [ROS] (2010 - 2026)
Hackett's Return on Sales [ROS] came in at 11.12% for Q2 2026, up 5.30 percentage points from 5.82% a year earlier but down 1.87 percentage points from the prior quarter.
Hackett (HCKT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Hackett reported Return on Sales [ROS] of 10.87%, up 1.51 percentage points year-over-year; for FY2025, it came in at 7.70%, down 6.51 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last three years, though with a five-year change of +4.09 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 14.21% in FY2024 (-2.40 pp), 16.61% in FY2023 (-2.20 pp), 18.81% in FY2022 (+2.14 pp) and 16.67% in FY2021 (+13.06 pp).
- The five-year range for quarterly Return on Sales [ROS] is 5.65% (Q1 2025) to 19.48% (Q3 2022).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -2.68 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 7.33 percentage points), and the weakest in Q2 2025 (a drop of 10.29 percentage points).
- Business Quant data shows HCKT's Return on Sales [ROS] at 12.99% (Q1 2026), 11.98% (Q4 2025) and 7.47% (Q3 2025) in the three quarters before Q2 2026.
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 | Hackett | 268.18 Mn | 215.86 Mn | 27.71 Mn | 11.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 11.12% |
| Mar 27, 2026 | 12.99% |
| Dec 26, 2025 | 11.98% |
| Sep 26, 2025 | 7.47% |
| Jun 27, 2025 | 5.82% |
| Mar 28, 2025 | 5.65% |
| Dec 27, 2024 | 9.78% |
| Sep 27, 2024 | 16.04% |
| Jun 28, 2024 | 16.12% |
| Mar 29, 2024 | 14.93% |
| Dec 29, 2023 | 15.85% |
| Sep 29, 2023 | 18.12% |
| Jun 30, 2023 | 16.59% |
| Mar 31, 2023 | 15.80% |
| Dec 30, 2022 | 19.43% |
| Sep 30, 2022 | 19.48% |
| Jul 1, 2022 | 18.68% |
| Apr 1, 2022 | 17.72% |
| Dec 31, 2021 | 17.09% |
| Oct 1, 2021 | 15.86% |
Hackett 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=HCKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HCKT", "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=HCKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();