Everforth (EFOR) Total Current Liabilities (2010 - 2026)
Everforth (EFOR) posted Total Current Liabilities of $464.4 million for Q2 2026, up 6.9% from $434.6 million a year earlier and up 0.5% from the prior quarter.
Everforth (EFOR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Everforth's Total Current Liabilities came in at $424.3 million, up 15.6% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Everforth's Total Current Liabilities was $367.1 million in FY2024 (-6.9%), $394.1 million in FY2023 (-10.8%), $441.9 million in FY2022 (-2.0%) and $450.9 million in FY2021 (+8.3%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q3 2022.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2021, with growth of 51.8%; the weakest was Q3 2022, with a decline of 16.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $461.9 million (Q1 2026), $424.3 million (Q4 2025) and $462.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 5.52 Bn |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 3.64 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 8.98 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 27.61 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 28.74 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 844.04 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 7.50 Bn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 444.19 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 1.06 Bn |
| 10 | Everforth | 1.42 Bn | 817.29 Mn | 291.60 Mn | 467.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 467.30 Mn |
| Jun 30, 2026 | 464.40 Mn |
| Mar 31, 2026 | 461.90 Mn |
| Dec 31, 2025 | 424.30 Mn |
| Sep 30, 2025 | 462.30 Mn |
| Jun 30, 2025 | 434.60 Mn |
| Mar 31, 2025 | 371.50 Mn |
| Dec 31, 2024 | 367.10 Mn |
| Sep 30, 2024 | 403.60 Mn |
| Jun 30, 2024 | 390.10 Mn |
| Mar 31, 2024 | 371.70 Mn |
| Dec 31, 2023 | 394.10 Mn |
| Sep 30, 2023 | 443.20 Mn |
| Jun 30, 2023 | 416.60 Mn |
| Mar 31, 2023 | 385.90 Mn |
| Dec 31, 2022 | 441.90 Mn |
| Sep 30, 2022 | 492.30 Mn |
| Jun 30, 2022 | 492.40 Mn |
| Mar 31, 2022 | 439.10 Mn |
| Dec 31, 2021 | 450.90 Mn |
Everforth Total Current 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-current-liabilities&ticker=EFOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "EFOR", "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-current-liabilities&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();