Globant (GLOB) Operating Leases (2019 - 2026)
Globant (GLOB) reported Operating Leases of $25.74 million for the quarter ended Jun 30, 2026, down 0.9% from $25.97 million a year earlier and down 9.7% from the prior quarter.
Globant (GLOB) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Globant posted Operating Leases of $28.51 million, down 4.1% from the prior year.
- Operating Leases has a five-year compound annual growth rate of 13.2% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $29.74 million in the year ended Dec 31, 2024 (-37.9%), $47.85 million in the year ended Dec 31, 2023 (+27.0%), $37.68 million in the year ended Dec 31, 2022 (+45.4%) and $25.92 million in the year ended Dec 31, 2021 (+68.8%).
- Five-year quarterly Operating Leases spans a low of $19.61 million in the quarter ended Sep 30, 2021 and a high of $47.85 million in the quarter ended Dec 31, 2023.
- Year over year, Operating Leases gained in 1 of the last eight quarters, with an average decline of 15.2%.
- The high point for year-over-year Operating Leases in five years was the quarter ended Jun 30, 2022 (growth of 273.0%); the low point was the quarter ended Dec 31, 2024 (a decline of 37.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $28.5 million (quarter ended Mar 31, 2026), $28.51 million (quarter ended Dec 31, 2025) and $25.27 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Globant | 1.48 Bn | 755.24 Mn | 208.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.74 Mn |
| Mar 31, 2026 | 28.50 Mn |
| Dec 31, 2025 | 28.51 Mn |
| Sep 30, 2025 | 25.27 Mn |
| Jun 30, 2025 | 25.97 Mn |
| Mar 31, 2025 | 27.47 Mn |
| Dec 31, 2024 | 29.74 Mn |
| Sep 30, 2024 | 29.74 Mn |
| Jun 30, 2024 | 31.81 Mn |
| Mar 31, 2024 | 38.12 Mn |
| Dec 31, 2023 | 47.85 Mn |
| Sep 30, 2023 | 37.59 Mn |
| Jun 30, 2023 | 39.27 Mn |
| Mar 31, 2023 | 37.64 Mn |
| Dec 31, 2022 | 37.68 Mn |
| Sep 30, 2022 | 36.25 Mn |
| Jun 30, 2022 | 33.38 Mn |
| Mar 31, 2022 | 29.76 Mn |
| Dec 31, 2021 | 25.92 Mn |
| Sep 30, 2021 | 19.61 Mn |
Globant Operating Leases 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=operating-leases&ticker=GLOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GLOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();