Firy (FIRY) Other Accumulated Expenses (2019 - 2026)
Firy (FIRY) reported Other Accumulated Expenses of $48.82 million for Q2 2026, down 6.4% from $52.13 million a year earlier but up 3.4% from the prior quarter.
Firy (FIRY) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Firy posted Other Accumulated Expenses of $42.94 million, down 21.3% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $54.56 million in FY2024 (+16.6%), $46.78 million in FY2023 (+2.4%), $45.67 million in FY2022 (-41.4%) and $77.95 million in FY2021 (+134.0%).
- Five-year quarterly Other Accumulated Expenses spans a low of $8.91 million in Q3 2021 and a high of $77.95 million in Q4 2021.
- Year over year, Other Accumulated Expenses has now declined in each of the last four quarters, with an average decline of 2.6% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q3 2022 (growth of 615.2%); the low point was Q4 2022 (a decline of 41.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $47.19 million (Q1 2026), $42.94 million (Q4 2025) and $45.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | Firy | 201.09 Mn | -554.61 Mn | 27.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.82 Mn |
| Mar 31, 2026 | 47.19 Mn |
| Dec 31, 2025 | 42.94 Mn |
| Sep 30, 2025 | 45.50 Mn |
| Jun 30, 2025 | 52.13 Mn |
| Mar 31, 2025 | 56.73 Mn |
| Dec 31, 2024 | 54.56 Mn |
| Sep 30, 2024 | 45.56 Mn |
| Jun 30, 2024 | 44.84 Mn |
| Mar 31, 2024 | 48.85 Mn |
| Dec 31, 2023 | 46.78 Mn |
| Sep 30, 2023 | 60.93 Mn |
| Jun 30, 2023 | 57.03 Mn |
| Mar 31, 2023 | 64.58 Mn |
| Dec 31, 2022 | 45.67 Mn |
| Sep 30, 2022 | 63.72 Mn |
| Jun 30, 2022 | 72.05 Mn |
| Mar 31, 2022 | 72.51 Mn |
| Dec 31, 2021 | 77.95 Mn |
| Sep 30, 2021 | 8.91 Mn |
Firy Other Accumulated Expenses 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=other-accumulated-expenses&ticker=FIRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=FIRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();