Babcock & Wilcox Enterprises (BW) Income Taxes Paid (2014 - 2026)
Babcock & Wilcox Enterprises' Income Taxes Paid was $5.72 million in Q2 2026, up 281.0% from $1.5 million a year earlier and up 288.5% from the prior quarter.
Babcock & Wilcox Enterprises (BW) Income Taxes Paid (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Babcock & Wilcox Enterprises' Income Taxes Paid was $11.88 million through Jun 30, 2026, up 57.4% year-over-year; for FY2025, it came in at $8.71 million, up 12.3% from FY2024.
- Income Taxes Paid shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In earlier years, Income Taxes Paid was $7.76 million in FY2024 (+15.3%), $6.73 million in FY2023 (-15.3%), $7.95 million in FY2022 (+59.3%) and $4.99 million in FY2021 (-28.3%).
- The Q2 2026 figure marks the highest quarterly Income Taxes Paid in data going back to Q3 2014.
- Compared with a year earlier, Income Taxes Paid was higher in four of the last eight quarters, with growth averaging 60.6%.
- The best year-over-year quarter for Income Taxes Paid over five years was Q3 2025 (growth of 345.7%); the worst was Q4 2025 (a decline of 77.6%).
- Per Business Quant data, BW's Income Taxes Paid in the three quarters before Q2 2026 was $1.47 million (Q1 2026), $579,000 (Q4 2025) and $4.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.05 Bn | 157.15 Bn | 3.11 Bn | 1.42 Bn |
| 2 | Bloom Energy | 51.10 Bn | 41.00 Bn | 417.10 Mn | 3.50 Mn |
| 3 | First Solar | 21.63 Bn | 12.99 Bn | 713.06 Mn | - |
| 4 | Nextpower | 15.87 Bn | 11.57 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 10.96 Bn | 8.77 Bn | 227.14 Mn | 26.71 Mn |
| 6 | Generac Holdings | 10.36 Bn | 9.10 Bn | 516.04 Mn | - |
| 7 | EnerSys | 5.36 Bn | 3.55 Bn | 313.36 Mn | - |
| 8 | Mirion Technologies | 4.35 Bn | 2.71 Bn | 131.50 Mn | - |
| 9 | Enphase Energy | 3.78 Bn | -535.47 Mn | 127.12 Mn | - |
| 10 | Babcock & Wilcox Enterprises | 460.44 Mn | -68.59 Mn | 46.64 Mn | 5.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.72 Mn |
| Mar 31, 2026 | 1.47 Mn |
| Dec 31, 2025 | 579,000.00 |
| Sep 30, 2025 | 4.10 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 2.53 Mn |
| Dec 31, 2024 | 2.59 Mn |
| Sep 30, 2024 | 920,000.00 |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 2.32 Mn |
| Dec 31, 2023 | 2.09 Mn |
| Sep 30, 2023 | 1.38 Mn |
| Jun 30, 2023 | 1.71 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 5.26 Mn |
| Sep 30, 2022 | 589,000.00 |
| Jun 30, 2022 | 1.63 Mn |
| Mar 31, 2022 | 471,000.00 |
| Dec 31, 2021 | -1.10 Mn |
| Sep 30, 2015 | 502,000.00 |
Babcock & Wilcox Enterprises Income Taxes Paid 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=income-taxes-paid&ticker=BW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "ticker": "BW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-taxes-paid&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();