Infosys (INFY) Prepaid Assets (2009 - 2026)
Infosys (INFY) posted Prepaid Assets of $1.7 billion for Q2 2026, little changed on a QoQ basis from $1.7 billion in Q1 2026, and up 19.97% year-over-year from $1.4 billion in Q2 2025.
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Analysis
Infosys (INFY) Prepaid Assets (2009 - 2026) Analysis & Trends
Infosys has reported Prepaid Assets for 18 years, with the latest figure at $1.7 billion in Q2 2026.
- On a quarterly basis, Prepaid Assets rose 19.97% year-over-year to $1.7 billion in Q2 2026; TTM through Jun 2026 was $1.7 billion, a 19.97% increase from a year earlier, with the FY2026 full-year figure at $1.7 billion, up 9.02% from the prior year.
- Prepaid Assets was $1.7 billion for Q2 2026 at Infosys, roughly flat from $1.7 billion in the prior quarter.
- The five-year high for Prepaid Assets was $152.0 billion in Q3 2024, with the low at $1.1 billion in Q1 2022.
- Average Prepaid Assets over 5 years is $25.5 billion, with a median of $1.4 billion recorded in 2025.
- The sharpest annual moves came in 2023 and 2025: Prepaid Assets surged 11522.32% in 2023, then sank 99.05% in 2025.
- Over 5 years, Prepaid Assets stood at $1.4 billion in 2022, then increased by 2.95% to $1.4 billion in 2023, then gained by 0.14% to $1.4 billion in 2024, then grew by 12.67% to $1.6 billion in 2025, then gained by 9.15% to $1.7 billion in 2026.
- The last three Prepaid Assets figures came in at $1.7 billion (Q2 2026), $1.7 billion (Q1 2026), and $1.6 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.72 Bn |
| Mar 31, 2026 | 1.72 Bn |
| Dec 31, 2025 | 1.57 Bn |
| Sep 30, 2025 | 1.46 Bn |
| Jun 30, 2025 | 1.43 Bn |
| Mar 31, 2025 | 1.50 Bn |
| Dec 31, 2024 | 1.40 Bn |
| Sep 30, 2024 | 152.00 Bn |
| Jun 30, 2024 | 150.90 Bn |
| Mar 31, 2024 | 1.48 Bn |
| Dec 31, 2023 | 1.40 Bn |
| Sep 30, 2023 | 135.40 Bn |
| Jun 30, 2023 | 1.39 Bn |
| Mar 31, 2023 | 1.34 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.25 Bn |
| Mar 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 986.00 Mn |
API Access
Infosys Prepaid Assets 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=prepaid-assets&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "INFY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();