Gartner (IT) Interest Expenses (2009 - 2026)
Gartner (IT) recorded Interest Expenses of $22.27 million in Q2 2026, up 88.7% from $11.8 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Gartner (IT) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Gartner's Interest Expenses came in at $143.38 million as of Jun 30, 2026, up 22.5% year-over-year; for FY2025, it came in at $125.28 million, down 4.4% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $131.05 million in FY2024 (-1.3%), $132.77 million in FY2023 (+5.2%), $126.2 million in FY2022 (+6.5%) and $118.51 million in FY2021 (+2.5%).
- Quarterly Interest Expenses has ranged from $11.8 million in Q2 2025 to $83.78 million in Q4 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with growth averaging 10.7% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 88.7% in Q2 2026, against a decline of 41.0% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.05 million (Q1 2026), $83.78 million (Q4 2025) and $16.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | - |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 7.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.27 Mn |
| Mar 31, 2026 | 21.05 Mn |
| Dec 31, 2025 | 83.78 Mn |
| Sep 30, 2025 | 16.28 Mn |
| Jun 30, 2025 | 11.80 Mn |
| Mar 31, 2025 | 13.41 Mn |
| Dec 31, 2024 | 73.88 Mn |
| Sep 30, 2024 | 17.96 Mn |
| Jun 30, 2024 | 19.99 Mn |
| Mar 31, 2024 | 19.22 Mn |
| Dec 31, 2023 | 59.00 Mn |
| Sep 30, 2023 | 21.82 Mn |
| Jun 30, 2023 | 24.56 Mn |
| Mar 31, 2023 | 27.39 Mn |
| Dec 31, 2022 | 34.80 Mn |
| Sep 30, 2022 | 30.29 Mn |
| Jun 30, 2022 | 29.72 Mn |
| Mar 31, 2022 | 31.39 Mn |
| Dec 31, 2021 | 33.38 Mn |
| Sep 30, 2021 | 31.60 Mn |
API Access
Gartner 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=interest-expenses&ticker=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "IT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();