Globant (GLOB) Total Liabilities (2011 - 2026)
Globant (GLOB) reported Total Liabilities of $1.06 billion for the quarter ended Jun 30, 2026, down 12.4% from $1.21 billion a year earlier and down 1.5% from the prior quarter.
Globant (GLOB) Total Liabilities (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Globant posted Total Liabilities of $1.16 billion, up 3.6% from the prior year.
- Total Liabilities has increased for 11 consecutive years, with a five-year compound annual growth rate of 23.1% (years ended Dec 2020 to Dec 2025).
- By year, Total Liabilities came in at $1.12 billion in the year ended Dec 31, 2024 (+19.8%), $931.19 million in the year ended Dec 31, 2023 (+45.6%), $639.63 million in the year ended Dec 31, 2022 (+11.0%) and $576.22 million in the year ended Dec 31, 2021 (+40.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Total Liabilities since the quarter ended Sep 30, 2024.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 19.4%.
- The high point for year-over-year Total Liabilities in five years was the quarter ended Jun 30, 2025 (growth of 54.9%); the low point was the quarter ended Jun 30, 2026 (a decline of 12.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.07 billion (quarter ended Mar 31, 2026), $1.16 billion (quarter ended Dec 31, 2025) and $1.1 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Globant | 1.48 Bn | 755.24 Mn | 208.24 Mn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 1.07 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.10 Bn |
| Jun 30, 2025 | 1.21 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 944.99 Mn |
| Jun 30, 2024 | 779.89 Mn |
| Mar 31, 2024 | 862.98 Mn |
| Dec 31, 2023 | 931.19 Mn |
| Sep 30, 2023 | 642.54 Mn |
| Jun 30, 2023 | 568.68 Mn |
| Mar 31, 2023 | 563.49 Mn |
| Dec 31, 2022 | 639.63 Mn |
| Sep 30, 2022 | 523.05 Mn |
| Jun 30, 2022 | 499.20 Mn |
| Mar 31, 2022 | 513.45 Mn |
| Dec 31, 2021 | 576.22 Mn |
| Sep 30, 2021 | 512.22 Mn |
Globant 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=GLOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GLOB", "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=GLOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();