Globant (GLOB) Restructuring Costs (2015 - 2026)
Globant (GLOB) posted Restructuring Costs of -$922,000 for the quarter ended Jun 30, 2026, compared with $5.64 million a year earlier.
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Analysis
Globant (GLOB) Restructuring Costs (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Globant was $12.59 million, down 50.3% year-over-year; for the year ended Dec 31, 2025, it came in at $21.3 million, down 25.9% from the prior year.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 16.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Globant's Restructuring Costs was $28.73 million in the year ended Dec 31, 2024 (+36.2%), $21.09 million in the year ended Dec 31, 2023 (+55.0%), $13.61 million in the year ended Dec 31, 2022 (+5.8%) and $12.86 million in the year ended Dec 31, 2021 (+27.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Restructuring Costs in data going back to the quarter ended Jun 30, 2015.
- On a year-over-year basis, Restructuring Costs increased in two of the last seven quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was the quarter ended Sep 30, 2025, with growth of 127.9%; the weakest was the quarter ended Sep 30, 2024, with a decline of 69.3%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $4.42 million (quarter ended Mar 31, 2026), $5.34 million (quarter ended Dec 31, 2025) and $3.75 million (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -922,000.00 |
| Mar 31, 2026 | 4.42 Mn |
| Dec 31, 2025 | 5.34 Mn |
| Sep 30, 2025 | 3.75 Mn |
| Jun 30, 2025 | 5.64 Mn |
| Mar 31, 2025 | 6.57 Mn |
| Dec 31, 2024 | 11.50 Mn |
| Sep 30, 2024 | 1.65 Mn |
| Jun 30, 2024 | 5.99 Mn |
| Mar 31, 2024 | 9.60 Mn |
| Dec 31, 2023 | 6.60 Mn |
| Sep 30, 2023 | 5.37 Mn |
| Jun 30, 2023 | 4.57 Mn |
| Mar 31, 2023 | 4.55 Mn |
| Dec 31, 2022 | 4.61 Mn |
| Sep 30, 2022 | 3.29 Mn |
| Jun 30, 2022 | 3.23 Mn |
| Mar 31, 2022 | 2.48 Mn |
| Dec 31, 2021 | 3.48 Mn |
| Sep 30, 2021 | 2.78 Mn |
API Access
Globant Restructuring Costs 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=restructuring-costs&ticker=GLOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GLOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();