Gartner (IT) Tax Provisions (2009 - 2026)
Gartner (IT) reported Tax Provisions of $41.3 million for Q3 2026, up 21.0% from $34.13 million a year earlier but down 47.8% from the prior quarter.
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Analysis
Gartner (IT) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Gartner's Tax Provisions came in at $262.21 million, up 273.0% year-over-year; for FY2025, it was $238.89 million, up 78.7% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 32.1% (FY2020 to FY2025).
- By year, Tax Provisions came in at $133.66 million in FY2024 (-49.5%), $264.66 million in FY2023 (+20.6%), $219.4 million in FY2022 (+24.4%) and $176.31 million in FY2021 (+196.9%).
- Five-year quarterly Tax Provisions spans a low of -$96.94 million in Q4 2024 and a high of $111.82 million in Q3 2024.
- Year over year, Tax Provisions has now increased in each of the last three quarters, with growth averaging 0.7% over the last six quarters.
- The high point for year-over-year Tax Provisions in five years was Q3 2024 (growth of 151.3%); the low point was Q3 2025 (a decline of 69.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $79.13 million (Q2 2026), $70.1 million (Q1 2026) and $71.68 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn | 764.36 Mn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn | 138.12 Mn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn | 56.73 Mn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn | 41.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn | 54.70 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn | 43.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn | 37.90 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - | - |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn | 41.30 Mn |
| 10 | Tetra Tech | 10.45 Bn | 9.56 Bn | 243.21 Mn | 40.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.30 Mn |
| Jun 30, 2026 | 79.13 Mn |
| Mar 31, 2026 | 70.10 Mn |
| Dec 31, 2025 | 71.68 Mn |
| Sep 30, 2025 | 34.13 Mn |
| Jun 30, 2025 | 77.01 Mn |
| Mar 31, 2025 | 56.10 Mn |
| Dec 31, 2024 | -96.94 Mn |
| Sep 30, 2024 | 111.82 Mn |
| Jun 30, 2024 | 69.75 Mn |
| Mar 31, 2024 | 49.01 Mn |
| Dec 31, 2023 | 68.62 Mn |
| Sep 30, 2023 | 44.50 Mn |
| Jun 30, 2023 | 66.10 Mn |
| Mar 31, 2023 | 85.50 Mn |
| Dec 31, 2022 | 47.30 Mn |
| Sep 30, 2022 | 58.52 Mn |
| Jun 30, 2022 | 71.03 Mn |
| Mar 31, 2022 | 42.54 Mn |
| Dec 31, 2021 | -32.29 Mn |
API Access
Gartner Tax Provisions 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=tax-provisions&ticker=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();