BWX Technologies (BWXT) Accumulated Expenses (2009 - 2025)
BWX Technologies' Accumulated Expenses was $101.51 million in Q1 2015, up 57.4% from $64.5 million a year earlier and up 4.4% from the prior quarter.
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Analysis
BWX Technologies (BWXT) Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2014, Accumulated Expenses at BWX Technologies came in at $97.21 million, up 67.0% from FY2013.
- Accumulated Expenses shows a four-year compound annual growth rate of 8.1% (FY2010 to FY2014).
- In earlier years, Accumulated Expenses was $58.19 million in FY2013 (+0.3%), $57.99 million in FY2012 (-18.4%), $71.08 million in FY2011 (-0.2%) and $71.24 million in FY2010.
- The Q1 2015 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Compared with a year earlier, Accumulated Expenses has increased for four straight quarters, with growth averaging 21.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2014 (growth of 67.0%); the worst was Q2 2012 (a decline of 22.7%).
- Per Business Quant data, BWXT's Accumulated Expenses in the three quarters before Q1 2015 was $97.21 million (Q4 2014), $87.71 million (Q3 2014) and $79.16 million (Q2 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 210.90 Bn | 163.15 Bn | 3.11 Bn |
| 2 | Bloom Energy | 54.82 Bn | 44.75 Bn | 417.10 Mn |
| 3 | First Solar | 19.45 Bn | 10.82 Bn | 713.06 Mn |
| 4 | Nextpower | 15.04 Bn | 10.75 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.61 Bn | 9.39 Bn | 227.14 Mn |
| 6 | Generac Holdings | 10.72 Bn | 9.45 Bn | 516.04 Mn |
| 7 | Innio | 10.33 Bn | 6.57 Bn | 367.70 Mn |
| 8 | EnerSys | 5.50 Bn | 3.69 Bn | 313.36 Mn |
| 9 | Mirion Technologies | 4.67 Bn | 3.08 Bn | 131.50 Mn |
| 10 | X-Energy | 4.46 Bn | 3.10 Bn | -32.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 22.83 Mn |
| Dec 31, 2024 | 18.74 Mn |
| Dec 31, 2023 | 13.78 Mn |
| Dec 31, 2019 | 12.12 Mn |
| Dec 31, 2015 | 44.95 Mn |
| Sep 30, 2015 | 54.14 Mn |
| Jun 30, 2015 | 59.50 Mn |
| Mar 31, 2015 | 101.51 Mn |
| Dec 31, 2014 | 97.21 Mn |
| Sep 30, 2014 | 87.71 Mn |
| Jun 30, 2014 | 79.16 Mn |
| Mar 31, 2014 | 64.50 Mn |
| Dec 31, 2013 | 58.19 Mn |
| Sep 30, 2013 | 72.33 Mn |
| Jun 30, 2013 | 77.20 Mn |
| Mar 31, 2013 | 77.35 Mn |
| Dec 31, 2012 | 57.99 Mn |
| Sep 30, 2012 | 61.42 Mn |
| Jun 30, 2012 | 62.79 Mn |
| Mar 31, 2012 | 77.82 Mn |
API Access
BWX Technologies Accumulated Expenses 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=accumulated-expenses&ticker=BWXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BWXT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BWXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();