Dragonfly Energy Holdings (DFLI) Accumulated Expenses (2020 - 2023)
Dragonfly Energy Holdings' Accumulated Expenses was $2 million in Q3 2023, compared with $32,759 a year earlier and up 4.8% from the prior quarter.
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Analysis
Dragonfly Energy Holdings (DFLI) Accumulated Expenses (2020 - 2023) Analysis & Trends
At the end of FY2022, Accumulated Expenses at Dragonfly Energy Holdings came in at $782,000.
- In earlier years, Accumulated Expenses was $31,749 in FY2021 and $1,000 in FY2020.
- The Q3 2023 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- Per Business Quant data, DFLI's Accumulated Expenses in the three quarters before Q3 2023 was $1.91 million (Q2 2023), $1.15 million (Q1 2023) and $782,000 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | Dragonfly Energy Holdings | 4.07 Mn | -23.58 Mn | 2.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 1.91 Mn |
| Mar 31, 2023 | 1.15 Mn |
| Dec 31, 2022 | 782,000.00 |
| Sep 30, 2022 | 32,759.00 |
| Jun 30, 2022 | 166,750.00 |
| Mar 31, 2022 | 121,584.00 |
| Dec 31, 2021 | 31,749.00 |
| Sep 30, 2021 | 1,000.00 |
| Jun 30, 2021 | 1,000.00 |
| Dec 31, 2020 | 1,000.00 |
API Access
Dragonfly Energy Holdings 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=DFLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DFLI", "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=DFLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();