H&R Block (HRB) Operating Expenses (2009 - 2026)
H&R Block (HRB) recorded Operating Expenses of $768.1 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.8% from $739.73 million a year earlier but down 43.6% from the prior quarter.
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Analysis
H&R Block (HRB) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), H&R Block reported Operating Expenses of $3.04 billion, up 3.6% from FY2025.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 55.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $2.93 billion in FY2025 (+4.6%), $2.81 billion in FY2024 (+3.0%), $2.72 billion in FY2023 (+0.2%) and $2.72 billion in FY2022 (+719.4%).
- Quarterly Operating Expenses has ranged from $367.4 million in fiscal Q1 2022 to $1.36 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 4.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 8.6% in fiscal Q4 2024, against a decline of 11.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.36 billion (Q3 2026), $497.74 million (Q2 2026) and $410.58 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | H&R Block | 5.04 Bn | 2.48 Bn | 594.35 Mn | 768.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 768.10 Mn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 497.74 Mn |
| Sep 30, 2025 | 410.58 Mn |
| Jun 30, 2025 | 739.73 Mn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 472.36 Mn |
| Sep 30, 2024 | 422.14 Mn |
| Jun 30, 2024 | 711.80 Mn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 446.52 Mn |
| Sep 30, 2023 | 390.13 Mn |
| Jun 30, 2023 | 655.64 Mn |
| Mar 31, 2023 | 1.23 Bn |
| Dec 31, 2022 | 449.61 Mn |
| Sep 30, 2022 | 389.10 Mn |
| Jun 30, 2022 | 738.47 Mn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 436.12 Mn |
| Sep 30, 2021 | 367.40 Mn |
API Access
H&R Block Operating Expenses 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=operating-expenses&ticker=HRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();