Gartner (IT) Total Liabilities (2009 - 2026)
Gartner (IT) reported Total Liabilities of $7.19 billion for Q3 2026, up 7.4% from $6.69 billion a year earlier but down 2.4% from the prior quarter.
Powered by 
Analysis
Gartner (IT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gartner posted Total Liabilities of $7.77 billion, up 8.2% from FY2024.
- Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $7.18 billion in FY2024 (+0.3%), $7.16 billion in FY2023 (+1.2%), $7.07 billion in FY2022 (+0.4%) and $7.05 billion in FY2021 (+13.2%).
- Five-year quarterly Total Liabilities spans a low of $6.59 billion in Q3 2022 and a high of $7.77 billion in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 4.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2022 (growth of 13.6%); the low point was Q3 2025 (a decline of 1.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $7.36 billion (Q2 2026), $7.59 billion (Q1 2026) and $7.77 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 40.87 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 23.71 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 1.97 Bn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 6.79 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 1.95 Bn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 7.19 Bn |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn | 2.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.19 Bn |
| Jun 30, 2026 | 7.36 Bn |
| Mar 31, 2026 | 7.59 Bn |
| Dec 31, 2025 | 7.77 Bn |
| Sep 30, 2025 | 6.69 Bn |
| Jun 30, 2025 | 6.80 Bn |
| Mar 31, 2025 | 6.98 Bn |
| Dec 31, 2024 | 7.18 Bn |
| Sep 30, 2024 | 6.78 Bn |
| Jun 30, 2024 | 6.78 Bn |
| Mar 31, 2024 | 6.99 Bn |
| Dec 31, 2023 | 7.16 Bn |
| Sep 30, 2023 | 6.68 Bn |
| Jun 30, 2023 | 6.77 Bn |
| Mar 31, 2023 | 6.91 Bn |
| Dec 31, 2022 | 7.07 Bn |
| Sep 30, 2022 | 6.59 Bn |
| Jun 30, 2022 | 6.73 Bn |
| Mar 31, 2022 | 6.87 Bn |
| Dec 31, 2021 | 7.05 Bn |
API Access
Gartner Total Liabilities 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=total-liabilities&ticker=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();