Gartner (IT) Cost of Revenue (2009 - 2026)
Gartner's Cost of Revenue was $486.91 million in Q2 2026, down 8.4% from $531.73 million a year earlier but up 13.4% from the prior quarter.
Gartner (IT) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gartner's Cost of Revenue was $1.96 billion through Jun 30, 2026, down 4.6% year-over-year; for FY2025, it came in at $2.05 billion, up 1.5% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $2.02 billion in FY2024 (+6.3%), $1.9 billion in FY2023 (+12.4%), $1.69 billion in FY2022 (+17.3%) and $1.44 billion in FY2021 (+7.4%).
- Quarterly Cost of Revenue has moved between $359.24 million (Q3 2021) and $574.93 million (Q4 2024) over five years.
- Compared with a year earlier, Cost of Revenue has declined for four straight quarters, with growth averaging 0.3% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2022 (growth of 21.0%); the worst was Q1 2026 (a decline of 9.6%).
- Per Business Quant data, IT's Cost of Revenue in the three quarters before Q2 2026 was $429.31 million (Q1 2026), $572.6 million (Q4 2025) and $474.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 200.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 486.91 Mn |
| Mar 31, 2026 | 429.31 Mn |
| Dec 31, 2025 | 572.60 Mn |
| Sep 30, 2025 | 474.22 Mn |
| Jun 30, 2025 | 531.73 Mn |
| Mar 31, 2025 | 475.03 Mn |
| Dec 31, 2024 | 574.93 Mn |
| Sep 30, 2024 | 475.34 Mn |
| Jun 30, 2024 | 513.31 Mn |
| Mar 31, 2024 | 459.44 Mn |
| Dec 31, 2023 | 529.84 Mn |
| Sep 30, 2023 | 450.84 Mn |
| Jun 30, 2023 | 487.42 Mn |
| Mar 31, 2023 | 435.14 Mn |
| Dec 31, 2022 | 475.37 Mn |
| Sep 30, 2022 | 416.84 Mn |
| Jun 30, 2022 | 424.54 Mn |
| Mar 31, 2022 | 377.03 Mn |
| Dec 31, 2021 | 399.59 Mn |
| Sep 30, 2021 | 359.24 Mn |
Gartner Cost of Revenue 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=cost-of-revenue&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();