H&R Block (HRB) Other Operating Expenses (2009 - 2026)
H&R Block (HRB) recorded Other Operating Expenses of $550.52 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.3% from $532.93 million a year earlier but down 46.7% from the prior quarter.
H&R Block (HRB) Other Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), H&R Block reported Other Operating Expenses of $2.2 billion, up 5.3% from FY2025.
- Annual Other Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 56.7% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $2.09 billion in FY2025 (+4.7%), $1.99 billion in FY2024 (+3.5%), $1.92 billion in FY2023 (+2.2%) and $1.88 billion in FY2022 (+708.2%).
- Quarterly Other Operating Expenses has ranged from $241.53 million in fiscal Q1 2022 to $1.03 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 11 consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 8.2% in fiscal Q2 2026, against a decline of 7.4% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.03 billion (Q3 2026), $339.92 million (Q2 2026) and $274.02 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | H&R Block | 5.04 Bn | 2.48 Bn | 594.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 550.52 Mn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 339.92 Mn |
| Sep 30, 2025 | 274.02 Mn |
| Jun 30, 2025 | 532.93 Mn |
| Mar 31, 2025 | 969.39 Mn |
| Dec 31, 2024 | 314.21 Mn |
| Sep 30, 2024 | 269.58 Mn |
| Jun 30, 2024 | 506.37 Mn |
| Mar 31, 2024 | 926.01 Mn |
| Dec 31, 2023 | 299.83 Mn |
| Sep 30, 2023 | 259.36 Mn |
| Jun 30, 2023 | 480.76 Mn |
| Mar 31, 2023 | 883.69 Mn |
| Dec 31, 2022 | 298.35 Mn |
| Sep 30, 2022 | 260.66 Mn |
| Jun 30, 2022 | 518.95 Mn |
| Mar 31, 2022 | 831.46 Mn |
| Dec 31, 2021 | 289.32 Mn |
| Sep 30, 2021 | 241.53 Mn |
H&R Block Other 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=other-operating-expenses&ticker=HRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=HRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();