Firy (FIRY) Cash & Equivalents (2019 - 2026)
Firy (FIRY) reported Cash & Equivalents of $163.99 million for Q2 2026, down 28.3% from $228.66 million a year earlier and down 11.5% from the prior quarter.
Firy (FIRY) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Firy posted Cash & Equivalents of $194.51 million, down 28.5% from FY2024.
- Cash & Equivalents has declined for three consecutive years, with a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $271.92 million in FY2024 (-10.0%), $302.03 million in FY2023 (-16.7%), $362.52 million in FY2022 (+50.2%) and $241.33 million in FY2021 (-8.1%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q1 2022.
- Year over year, Cash & Equivalents has now declined in each of the last 11 quarters, with an average decline of 21.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2023 (growth of 262.4%); the low point was Q1 2022 (a decline of 81.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $185.4 million (Q1 2026), $194.51 million (Q4 2025) and $211.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Firy | 204.05 Mn | -551.65 Mn | 27.08 Mn | 163.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.99 Mn |
| Mar 31, 2026 | 185.40 Mn |
| Dec 31, 2025 | 194.51 Mn |
| Sep 30, 2025 | 211.80 Mn |
| Jun 30, 2025 | 228.66 Mn |
| Mar 31, 2025 | 254.34 Mn |
| Dec 31, 2024 | 271.92 Mn |
| Sep 30, 2024 | 301.44 Mn |
| Jun 30, 2024 | 316.42 Mn |
| Mar 31, 2024 | 290.60 Mn |
| Dec 31, 2023 | 302.03 Mn |
| Sep 30, 2023 | 330.20 Mn |
| Jun 30, 2023 | 324.80 Mn |
| Mar 31, 2023 | 415.33 Mn |
| Dec 31, 2022 | 362.52 Mn |
| Sep 30, 2022 | 239.90 Mn |
| Jun 30, 2022 | 170.00 Mn |
| Mar 31, 2022 | 114.60 Mn |
| Dec 31, 2021 | 241.33 Mn |
| Sep 30, 2021 | 540.31 Mn |
Firy Cash & Equivalents 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=cash-and-equivalents&ticker=FIRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FIRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();