Hackett (HCKT) EBITDA (2010 - 2026)
Hackett's EBITDA came in at $9.16 million for Q2 2026, up 56.3% from $5.86 million a year earlier but down 12.1% from the prior quarter.
Hackett (HCKT) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Hackett reported EBITDA of $36.88 million, up 8.8% year-over-year; for FY2025, it was $28.73 million, down 40.8% from FY2024.
- EBITDA has declined in each of the last three years, though with a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- Going back by year, EBITDA was $48.54 million in FY2024 (-7.9%), $52.68 million in FY2023 (-10.3%), $58.7 million in FY2022 (+15.3%) and $50.89 million in FY2021 (+287.2%).
- The five-year range for quarterly EBITDA is $5.57 million (Q1 2025) to $15.02 million (Q2 2022).
- Year-over-year, EBITDA has increased for three consecutive quarters, with an average decline of 4.3% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2026 (growth of 86.9%), and the weakest in Q2 2025 (a decline of 56.5%).
- Business Quant data shows HCKT's EBITDA at $10.42 million (Q1 2026), $10.48 million (Q4 2025) and $6.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Hackett | 243.31 Mn | 190.98 Mn | 27.71 Mn | 9.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 9.16 Mn |
| Mar 27, 2026 | 10.42 Mn |
| Dec 26, 2025 | 10.48 Mn |
| Sep 26, 2025 | 6.82 Mn |
| Jun 27, 2025 | 5.86 Mn |
| Mar 28, 2025 | 5.57 Mn |
| Dec 27, 2024 | 8.72 Mn |
| Sep 27, 2024 | 13.74 Mn |
| Jun 28, 2024 | 13.46 Mn |
| Mar 29, 2024 | 12.47 Mn |
| Dec 29, 2023 | 12.37 Mn |
| Sep 29, 2023 | 14.64 Mn |
| Jun 30, 2023 | 13.60 Mn |
| Mar 31, 2023 | 12.08 Mn |
| Dec 30, 2022 | 14.46 Mn |
| Sep 30, 2022 | 14.87 Mn |
| Jul 1, 2022 | 15.02 Mn |
| Apr 1, 2022 | 14.36 Mn |
| Dec 31, 2021 | 13.08 Mn |
| Oct 1, 2021 | 12.49 Mn |
Hackett EBITDA 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=ebitda&ticker=HCKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HCKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();