Babcock & Wilcox Enterprises (BW) Cash & Equivalents (2013 - 2026)
Babcock & Wilcox Enterprises (BW) reported Cash & Equivalents of $308.63 million for Q2 2026, compared with $23.43 million a year earlier and up 189.7% from the prior quarter.
Babcock & Wilcox Enterprises (BW) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Babcock & Wilcox Enterprises posted Cash & Equivalents of $89.46 million, up 282.3% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $23.4 million in FY2024 (-64.2%), $65.34 million in FY2023 (-14.8%), $76.73 million in FY2022 (-65.9%) and $224.87 million in FY2021 (+292.2%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2015.
- Year over year, Cash & Equivalents gained in two of the last seven quarters, with growth averaging 61.1%.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2026 (growth of 392.6%); the low point was Q2 2025 (a decline of 75.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $106.55 million (Q1 2026), $89.46 million (Q4 2025) and $24.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 266.37 Bn | 226.28 Bn | 2.36 Bn | 13.12 Bn |
| 2 | Bloom Energy | 73.98 Bn | 65.77 Bn | 355.57 Mn | 2.67 Bn |
| 3 | First Solar | 19.68 Bn | 10.64 Bn | 605.00 Mn | 1.69 Bn |
| 4 | Nextpower | 13.09 Bn | 8.98 Bn | 335.85 Mn | 1.21 Bn |
| 5 | BWX Technologies | 12.56 Bn | 10.86 Bn | 202.31 Mn | 608.20 Mn |
| 6 | Generac Holdings | 12.50 Bn | 11.33 Bn | 521.81 Mn | 264.92 Mn |
| 7 | EnerSys | 6.41 Bn | 4.60 Bn | 313.36 Mn | 530.66 Mn |
| 8 | Enphase Energy | 4.08 Bn | -777.50 Mn | 175.01 Mn | 529.34 Mn |
| 9 | Mirion Technologies | 3.96 Bn | 1.79 Bn | 133.10 Mn | 418.70 Mn |
| 10 | Babcock & Wilcox Enterprises | 698.13 Mn | 169.11 Mn | 46.64 Mn | 308.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 308.63 Mn |
| Mar 31, 2026 | 106.55 Mn |
| Dec 31, 2025 | 89.46 Mn |
| Sep 30, 2025 | 24.39 Mn |
| Jun 30, 2025 | 23.43 Mn |
| Mar 31, 2025 | 21.63 Mn |
| Dec 31, 2024 | 23.40 Mn |
| Sep 30, 2024 | 30.63 Mn |
| Jun 30, 2024 | 95.47 Mn |
| Mar 31, 2024 | 43.88 Mn |
| Dec 31, 2023 | 65.34 Mn |
| Sep 30, 2023 | 48.37 Mn |
| Jun 30, 2023 | 55.04 Mn |
| Mar 31, 2023 | 62.76 Mn |
| Dec 31, 2022 | 76.73 Mn |
| Sep 30, 2022 | 48.47 Mn |
| Jun 30, 2022 | 71.52 Mn |
| Mar 31, 2022 | 108.14 Mn |
| Dec 31, 2021 | 224.87 Mn |
| Sep 30, 2021 | 107.06 Mn |
Babcock & Wilcox Enterprises Cash & Equivalents 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=cash-and-equivalents&ticker=BW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();