Ci&T (CINT) Total Liabilities (2020 - 2026)
Ci&T's Total Liabilities was $260.62 million in the quarter ended Jun 30, 2026, up 4.0% from $250.59 million a year earlier and up 4.1% from the prior quarter.
Ci&T (CINT) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Ci&T came in at $241.56 million, down 7.9% from the prior year.
- Total Liabilities shows a five-year compound annual growth rate of 26.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Liabilities was $262.4 million in the year ended Dec 31, 2024 (+0.3%), $261.65 million in the year ended Dec 31, 2023 (-20.5%), $328.92 million in the year ended Dec 31, 2022 (+39.1%) and $236.41 million in the year ended Dec 31, 2021 (+211.5%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Total Liabilities since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with an average decline of 4.8%.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Dec 31, 2021 (growth of 218.7%); the worst was the quarter ended Dec 31, 2023 (a decline of 18.1%).
- Per Business Quant data, CINT's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $250.28 million (quarter ended Mar 31, 2026), $241.56 million (quarter ended Dec 31, 2025) and $248.93 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 21.56 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 5.88 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 32.54 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 31.30 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 10.40 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Ci&T | 415.46 Mn | 222.75 Mn | 44.40 Mn | 260.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.62 Mn |
| Mar 31, 2026 | 250.28 Mn |
| Dec 31, 2025 | 241.56 Mn |
| Sep 30, 2025 | 248.93 Mn |
| Jun 30, 2025 | 250.59 Mn |
| Mar 31, 2025 | 247.44 Mn |
| Dec 31, 2024 | 246.29 Mn |
| Sep 30, 2024 | 277.02 Mn |
| Jun 30, 2024 | 261.99 Mn |
| Mar 31, 2024 | 273.21 Mn |
| Dec 31, 2023 | 269.19 Mn |
| Sep 30, 2023 | 281.66 Mn |
| Jun 30, 2023 | 292.69 Mn |
| Mar 31, 2023 | 321.33 Mn |
| Dec 31, 2022 | 320.74 Mn |
| Sep 30, 2022 | 245.45 Mn |
| Jun 30, 2022 | 251.34 Mn |
| Mar 31, 2022 | 283.69 Mn |
| Dec 31, 2021 | 228.55 Mn |
| Sep 30, 2021 | 237.10 Mn |
Ci&T Total Liabilities 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=total-liabilities&ticker=CINT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CINT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();