Firy (FIRY) Research & Development (2020 - 2026)
Firy's Research & Development was $6.89 million in Q2 2026, up 42.3% from $4.84 million a year earlier and up 36.0% from the prior quarter.
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Analysis
Firy (FIRY) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Firy's Research & Development was $22.91 million through Jun 30, 2026, up 30.9% year-over-year; for FY2025, it came in at $20.62 million, up 23.1% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In earlier years, Research & Development was $16.75 million in FY2024 (-40.5%), $28.15 million in FY2023 (-46.1%), $52.27 million in FY2022 (+13.0%) and $46.23 million in FY2021 (+99.1%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q3 2023.
- Compared with a year earlier, Research & Development has increased for six straight quarters, with growth averaging 13.7% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2021 (growth of 199.1%); the worst was Q2 2023 (a decline of 56.0%).
- Per Business Quant data, FIRY's Research & Development in the three quarters before Q2 2026 was $5.06 million (Q1 2026), $5.52 million (Q4 2025) and $5.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Firy | 206.03 Mn | -549.68 Mn | 27.08 Mn | 6.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.89 Mn |
| Mar 31, 2026 | 5.06 Mn |
| Dec 31, 2025 | 5.52 Mn |
| Sep 30, 2025 | 5.44 Mn |
| Jun 30, 2025 | 4.84 Mn |
| Mar 31, 2025 | 4.82 Mn |
| Dec 31, 2024 | 3.11 Mn |
| Sep 30, 2024 | 4.74 Mn |
| Jun 30, 2024 | 4.27 Mn |
| Mar 31, 2024 | 4.62 Mn |
| Dec 31, 2023 | 3.39 Mn |
| Sep 30, 2023 | 7.85 Mn |
| Jun 30, 2023 | 8.03 Mn |
| Mar 31, 2023 | 8.88 Mn |
| Dec 31, 2022 | 7.43 Mn |
| Sep 30, 2022 | 7.94 Mn |
| Jun 30, 2022 | 18.25 Mn |
| Mar 31, 2022 | 18.65 Mn |
| Dec 31, 2021 | 15.74 Mn |
| Sep 30, 2021 | 13.07 Mn |
API Access
Firy 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=FIRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "FIRY", "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=FIRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();