Gibo Holdings (GIBO) Receivables (2024 - 2025)
Gibo Holdings' (GIBO) quarterly Receivables came in at $6.8 million in Q4 2025, down 95.64% year-over-year from $156.0 million in Q4 2024, and down 95.64% quarter-over-quarter from $156.0 million in Q4 2024.
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Analysis
Gibo Holdings (GIBO) Receivables (2024 - 2025) Analysis & Trends
Gibo Holdings has disclosed Receivables across 2 years of filings, most recently posting $6.8 million for Q4 2025.
- In Q4 2025, Receivables fell 95.64% year-over-year to $6.8 million; the TTM figure through Dec 2025 stood at $6.8 million (down 95.64% YoY), while the FY2025 annual figure was $6.8 million, down 95.64% from the prior year.
- Receivables came in at $6.8 million for Q4 2025 at Gibo Holdings, down from $156.0 million in the prior quarter.
- In the past five years, Receivables ranged from a high of $156.0 million in Q4 2024 to a low of $6.8 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 1.14 Bn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 1.27 Bn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 996.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 629.99 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 1.72 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 49.49 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 947.33 Mn |
| 10 | Gibo Holdings | 4.93 Mn | 4.53 Mn | - | 6.80 Mn |
API Access
Gibo Holdings Receivables 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=receivables&ticker=GIBO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();