Hackett (HCKT) Operating Expenses (2010 - 2026)
Hackett's Operating Expenses came in at $61.62 million for Q2 2026, down 17.1% from $74.3 million a year earlier but up 2.9% from the prior quarter.
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Analysis
Hackett (HCKT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Hackett reported Operating Expenses of $255.8 million, down 10.6% year-over-year; for FY2025, it was $282.09 million, up 4.8% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $269.27 million in FY2024 (+8.9%), $247.33 million in FY2023 (+3.7%), $238.49 million in FY2022 (+2.7%) and $232.33 million in FY2021 (+0.6%).
- The five-year range for quarterly Operating Expenses is $56.49 million (Q4 2022) to $74.3 million (Q2 2025).
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 17.3%), and the weakest in Q1 2026 (a decline of 18.5%).
- Business Quant data shows HCKT's Operating Expenses at $59.86 million (Q1 2026), $66.67 million (Q4 2025) and $67.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Hackett | 245.54 Mn | 193.22 Mn | 27.71 Mn | 61.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 61.62 Mn |
| Mar 27, 2026 | 59.86 Mn |
| Dec 26, 2025 | 66.67 Mn |
| Sep 26, 2025 | 67.65 Mn |
| Jun 27, 2025 | 74.30 Mn |
| Mar 28, 2025 | 73.46 Mn |
| Dec 27, 2024 | 71.49 Mn |
| Sep 27, 2024 | 66.98 Mn |
| Jun 28, 2024 | 65.14 Mn |
| Mar 29, 2024 | 65.66 Mn |
| Dec 29, 2023 | 60.93 Mn |
| Sep 29, 2023 | 62.11 Mn |
| Jun 30, 2023 | 64.31 Mn |
| Mar 31, 2023 | 59.98 Mn |
| Dec 30, 2022 | 56.49 Mn |
| Sep 30, 2022 | 58.00 Mn |
| Jul 1, 2022 | 61.75 Mn |
| Apr 1, 2022 | 62.26 Mn |
| Dec 31, 2021 | 58.23 Mn |
| Oct 1, 2021 | 60.49 Mn |
API Access
Hackett 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=HCKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HCKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();