Everforth (EFOR) Tax Provisions (2010 - 2026)
Everforth (EFOR) recorded Tax Provisions of $13.3 million in Q3 2026, up 7.3% from $12.4 million a year earlier and up 104.6% from the prior quarter.
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Analysis
Everforth (EFOR) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Everforth's Tax Provisions came in at $39.2 million as of Sep 30, 2026, down 24.2% year-over-year; for FY2025, it came in at $49.1 million, down 24.3% from FY2024.
- Annual Tax Provisions has declined for three straight years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $64.9 million in FY2024 (-17.2%), $78.4 million in FY2023 (-18.9%), $96.7 million in FY2022 (+18.5%) and $81.6 million in FY2021 (+27.7%).
- Quarterly Tax Provisions has ranged from $5.1 million in Q1 2026 to $27.4 million in Q2 2022 over the past five years.
- On a year-over-year basis, Tax Provisions rose in two of the last eight quarters, with an average decline of 23.0%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 53.9% in Q1 2022, against a decline of 50.5% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.5 million (Q2 2026), $5.1 million (Q1 2026) and $14.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 237.00 Mn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 114.10 Mn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 139.01 Mn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 80.31 Mn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 46.03 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 33.58 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 17.94 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 17.00 Mn |
| 10 | Everforth | 1.42 Bn | 817.29 Mn | 291.60 Mn | 13.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.30 Mn |
| Jun 30, 2026 | 6.50 Mn |
| Mar 31, 2026 | 5.10 Mn |
| Dec 31, 2025 | 14.30 Mn |
| Sep 30, 2025 | 12.40 Mn |
| Jun 30, 2025 | 12.10 Mn |
| Mar 31, 2025 | 10.30 Mn |
| Dec 31, 2024 | 16.90 Mn |
| Sep 30, 2024 | 15.40 Mn |
| Jun 30, 2024 | 17.40 Mn |
| Mar 31, 2024 | 15.20 Mn |
| Dec 31, 2023 | 16.40 Mn |
| Sep 30, 2023 | 20.70 Mn |
| Jun 30, 2023 | 22.00 Mn |
| Mar 31, 2023 | 19.30 Mn |
| Dec 31, 2022 | 20.40 Mn |
| Sep 30, 2022 | 25.20 Mn |
| Jun 30, 2022 | 27.40 Mn |
| Mar 31, 2022 | 23.70 Mn |
| Dec 31, 2021 | 20.80 Mn |
API Access
Everforth Tax Provisions 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=tax-provisions&ticker=EFOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();