Hackett (HCKT) Non Operating Interest Expenses (2012 - 2026)
Hackett (HCKT) recorded Non Operating Interest Expenses of $1.21 million in Q2 2026, up 230.9% from $366,000 a year earlier and up 20.1% from the prior quarter.
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Analysis
Hackett (HCKT) Non Operating Interest Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Hackett's Non Operating Interest Expenses came in at $3.37 million as of Jun 26, 2026, up 185.8% year-over-year; for FY2025, it was $1.72 million, up 7.7% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 68.6% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $1.59 million in FY2024 (-50.7%), $3.24 million in FY2023, $144,000 in FY2022 (+51.6%) and $95,000 in FY2021 (-24.6%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q1 2012.
- On a year-over-year basis, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 79.9% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 766.2% in Q4 2023, against a decline of 62.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.01 million (Q1 2026), $710,000 (Q4 2025) and $438,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 9.39 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Hackett | 268.18 Mn | 215.86 Mn | 27.71 Mn | 1.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.21 Mn |
| Mar 27, 2026 | 1.01 Mn |
| Dec 26, 2025 | 710,000.00 |
| Sep 26, 2025 | 438,000.00 |
| Jun 27, 2025 | 366,000.00 |
| Mar 28, 2025 | 202,000.00 |
| Dec 27, 2024 | 242,000.00 |
| Sep 27, 2024 | 368,000.00 |
| Jun 28, 2024 | 512,000.00 |
| Mar 29, 2024 | 472,000.00 |
| Dec 29, 2023 | 641,000.00 |
| Sep 29, 2023 | 814,000.00 |
| Jun 30, 2023 | 921,000.00 |
| Mar 31, 2023 | 859,000.00 |
| Dec 30, 2022 | 74,000.00 |
| Sep 30, 2022 | 14,000.00 |
| Jul 1, 2022 | 28,000.00 |
| Apr 1, 2022 | 28,000.00 |
| Dec 31, 2021 | 19,000.00 |
| Oct 1, 2021 | 26,000.00 |
API Access
Hackett Non Operating Interest 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=non-operating-interest-expenses&ticker=HCKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=HCKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();