Dragonfly Energy Holdings (DFLI) Research & Development (2022 - 2026)
Dragonfly Energy Holdings' Research & Development was $980,000 in Q1 2026, down 2.0% from $1 million a year earlier but up 39.2% from the prior quarter.
Dragonfly Energy Holdings (DFLI) Research & Development (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dragonfly Energy Holdings' Research & Development was $2.96 million through Mar 31, 2026, down 42.1% year-over-year; for FY2025, it was $2.98 million, down 45.3% from FY2024.
- Research & Development shows a four-year compound annual growth rate of 2.6% (FY2021 to FY2025).
- In earlier years, Research & Development was $5.45 million in FY2024 (+41.1%), $3.86 million in FY2023 (+39.8%), $2.76 million in FY2022 (+2.8%) and $2.69 million in FY2021.
- Quarterly Research & Development has moved between $339,000 (Q1 2022) and $1.63 million (Q3 2024) over five years.
- Compared with a year earlier, Research & Development has declined for five straight quarters, with an average decline of 3.9% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2023 (growth of 159.6%); the worst was Q3 2025 (a decline of 64.1%).
- Per Business Quant data, DFLI's Research & Development in the three quarters before Q1 2026 was $704,000 (Q4 2025), $585,000 (Q3 2025) and $692,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 210.90 Bn | 163.15 Bn | 3.11 Bn | 358.00 Mn |
| 2 | Bloom Energy | 54.82 Bn | 44.75 Bn | 417.10 Mn | 64.15 Mn |
| 3 | First Solar | 19.45 Bn | 10.82 Bn | 713.06 Mn | 67.22 Mn |
| 4 | Nextpower | 15.04 Bn | 10.75 Bn | 345.32 Mn | 45.57 Mn |
| 5 | BWX Technologies | 11.61 Bn | 9.39 Bn | 227.14 Mn | 3.83 Mn |
| 6 | Generac Holdings | 10.72 Bn | 9.45 Bn | 516.04 Mn | 63.83 Mn |
| 7 | Innio | 10.33 Bn | 6.57 Bn | 367.70 Mn | 32.20 Mn |
| 8 | EnerSys | 5.50 Bn | 3.69 Bn | 313.36 Mn | - |
| 9 | Mirion Technologies | 4.67 Bn | 3.08 Bn | 131.50 Mn | 10.30 Mn |
| 10 | Dragonfly Energy Holdings | 3.19 Mn | -33.84 Mn | 4.34 Mn | 648,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 648,000.00 |
| Mar 31, 2026 | 980,000.00 |
| Dec 31, 2025 | 704,000.00 |
| Sep 30, 2025 | 585,000.00 |
| Jun 30, 2025 | 692,000.00 |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 956,000.00 |
| Sep 30, 2024 | 1.63 Mn |
| Jun 30, 2024 | 1.53 Mn |
| Mar 31, 2024 | 1.33 Mn |
| Dec 31, 2023 | 531,000.00 |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 880,000.00 |
| Dec 31, 2022 | 813,000.00 |
| Sep 30, 2022 | 753,000.00 |
| Jun 30, 2022 | 859,000.00 |
| Mar 31, 2022 | 339,000.00 |
Dragonfly Energy Holdings Research & Development 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=research-and-development&ticker=DFLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DFLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();