Firy (FIRY) Cost of Revenue (2020 - 2026)
Firy's Cost of Revenue was $3.91 million in Q2 2026, up 21.5% from $3.22 million a year earlier and up 8.7% from the prior quarter.
Firy (FIRY) Cost of Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Firy's Cost of Revenue was $14.37 million through Jun 30, 2026, up 12.4% year-over-year; for FY2025, it was $13.05 million, down 2.6% from FY2024.
- Cost of Revenue has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $13.41 million in FY2024 (-12.8%), $15.38 million in FY2023 (-49.9%), $30.72 million in FY2022 (+21.7%) and $25.24 million in FY2021 (+105.5%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue since Q1 2023.
- Compared with a year earlier, Cost of Revenue has increased for three straight quarters, with growth averaging 2.2% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 163.7%); the worst was Q2 2023 (a decline of 59.5%).
- Per Business Quant data, FIRY's Cost of Revenue in the three quarters before Q2 2026 was $3.6 million (Q1 2026), $3.51 million (Q4 2025) and $3.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Firy | 204.05 Mn | -551.65 Mn | 27.08 Mn | 3.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.91 Mn |
| Mar 31, 2026 | 3.60 Mn |
| Dec 31, 2025 | 3.51 Mn |
| Sep 30, 2025 | 3.36 Mn |
| Jun 30, 2025 | 3.22 Mn |
| Mar 31, 2025 | 2.97 Mn |
| Dec 31, 2024 | 3.23 Mn |
| Sep 30, 2024 | 3.37 Mn |
| Jun 30, 2024 | 3.35 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 3.46 Mn |
| Sep 30, 2023 | 3.69 Mn |
| Jun 30, 2023 | 3.65 Mn |
| Mar 31, 2023 | 4.58 Mn |
| Dec 31, 2022 | 4.92 Mn |
| Sep 30, 2022 | 7.60 Mn |
| Jun 30, 2022 | 9.00 Mn |
| Mar 31, 2022 | 9.20 Mn |
| Dec 31, 2021 | 8.42 Mn |
| Sep 30, 2021 | 8.18 Mn |
Firy Cost of Revenue 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=cost-of-revenue&ticker=FIRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FIRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();