Firy (FIRY) Selling, General & Administrative (2020 - 2026)
Firy (FIRY) reported Selling, General & Administrative of $28.17 million for Q2 2026, up 68.6% from $16.71 million a year earlier and up 45.1% from the prior quarter.
Firy (FIRY) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Firy's Selling, General & Administrative came in at $82.91 million, up 11.5% year-over-year; for FY2025, it was $71.12 million, down 9.8% from FY2024.
- Selling, General & Administrative has declined for three consecutive years, though with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $78.86 million in FY2024 (-18.4%), $96.65 million in FY2023 (-40.7%), $163.02 million in FY2022 (+20.0%) and $135.8 million in FY2021 (+219.8%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2022.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with growth averaging 2.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 513.7%); the low point was Q1 2023 (a decline of 69.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.41 million (Q1 2026), $17.85 million (Q4 2025) and $17.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Firy | 204.05 Mn | -551.65 Mn | 27.08 Mn | 28.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.17 Mn |
| Mar 31, 2026 | 19.41 Mn |
| Dec 31, 2025 | 17.85 Mn |
| Sep 30, 2025 | 17.48 Mn |
| Jun 30, 2025 | 16.71 Mn |
| Mar 31, 2025 | 19.08 Mn |
| Dec 31, 2024 | 20.44 Mn |
| Sep 30, 2024 | 18.15 Mn |
| Jun 30, 2024 | 17.24 Mn |
| Mar 31, 2024 | 23.04 Mn |
| Dec 31, 2023 | 18.57 Mn |
| Sep 30, 2023 | 24.39 Mn |
| Jun 30, 2023 | 26.07 Mn |
| Mar 31, 2023 | 28.07 Mn |
| Dec 31, 2022 | 22.48 Mn |
| Sep 30, 2022 | 20.94 Mn |
| Jun 30, 2022 | 26.88 Mn |
| Mar 31, 2022 | 92.72 Mn |
| Dec 31, 2021 | 34.25 Mn |
| Sep 30, 2021 | 48.51 Mn |
Firy Selling, General & Administrative 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=selling-general-and-administrative&ticker=FIRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FIRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();