Gibo Holdings (GIBO) Non-Current Debt (2024 - 2025)
Gibo Holdings' (GIBO) quarterly Non-Current Debt came in at $3.1 million in Q4 2025, up 2892.56% year-over-year from $105252.0 in Q4 2024, and up 1023.27% quarter-over-quarter from $280408.0 in Q2 2025.
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Analysis
Gibo Holdings (GIBO) Non-Current Debt (2024 - 2025) Analysis & Trends
Gibo Holdings has disclosed Non-Current Debt across 2 years of filings, most recently posting $3.1 million for Q4 2025.
- In Q4 2025, Non-Current Debt rose 2892.56% year-over-year to $3.1 million; the TTM figure through Dec 2025 stood at $3.1 million (up 2892.56% YoY), while the FY2025 annual figure was $3.1 million, up 2892.56% from the prior year.
- Non-Current Debt came in at $3.1 million for Q4 2025 at Gibo Holdings, up from $280408.0 in the prior quarter.
- In the past five years, Non-Current Debt ranged from a high of $3.1 million in Q4 2025 to a low of $105252.0 in Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 1.53 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 2.04 Bn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 25.00 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 2.49 Bn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 381.16 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 2.29 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 8.94 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 207.04 Mn |
| 10 | Gibo Holdings | 4.93 Mn | 4.53 Mn | - | 3.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.15 Mn |
| Jun 30, 2025 | 280,408.00 |
| Dec 31, 2024 | 105,252.00 |
API Access
Gibo Holdings Non-Current Debt 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=non-current-debt&ticker=GIBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "GIBO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=GIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();