H&R Block (HRB) Return on Sales [ROS] (2009 - 2026)
H&R Block (HRB) recorded Return on Sales [ROS] of -15.18% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.63 percentage points from -14.55% a year earlier and down 15.38 percentage points from the prior quarter.
H&R Block (HRB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), H&R Block reported Return on Sales [ROS] of -32.66%, up 0.79 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -11.55 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -33.45% in FY2025 (-0.59 pp), -32.86% in FY2024 (+0.98 pp), -33.83% in FY2023 (-1.02 pp) and -32.81% in FY2022 (-11.70 pp).
- Quarterly Return on Sales [ROS] has ranged from -349.48% in fiscal Q2 2023 to 2.61% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +1.52 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 32.72 percentage points in fiscal Q2 2024, against a drop of 44.88 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.20% (Q3 2026), -321.22% (Q2 2026) and -236.33% (Q1 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 | H&R Block | 5.14 Bn | 2.59 Bn | 594.35 Mn | -15.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.18% |
| Mar 31, 2026 | 0.20% |
| Dec 31, 2025 | -321.22% |
| Sep 30, 2025 | -236.33% |
| Jun 30, 2025 | -14.55% |
| Mar 31, 2025 | 0.39% |
| Dec 31, 2024 | -339.25% |
| Sep 30, 2024 | -256.91% |
| Jun 30, 2024 | -14.64% |
| Mar 31, 2024 | 0.10% |
| Dec 31, 2023 | -316.76% |
| Sep 30, 2023 | -253.36% |
| Jun 30, 2023 | -10.10% |
| Mar 31, 2023 | -0.92% |
| Dec 31, 2022 | -349.48% |
| Sep 30, 2022 | -261.01% |
| Jun 30, 2022 | -19.75% |
| Mar 31, 2022 | 2.61% |
| Dec 31, 2021 | -356.78% |
| Sep 30, 2021 | -216.12% |
H&R Block 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=HRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HRB", "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=HRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();