Firy (FIRY) Total Liabilities (2019 - 2026)
Firy's Total Liabilities was $187.23 million in Q2 2026, down 0.3% from $187.86 million a year earlier but up 1.1% from the prior quarter.
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Analysis
Firy (FIRY) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Firy came in at $181.64 million, down 9.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $201.23 million in FY2024 (+8.6%), $185.34 million in FY2023 (-45.9%), $342.89 million in FY2022 (-16.8%) and $411.97 million in FY2021 (+76.3%).
- Quarterly Total Liabilities has moved between $116.87 million (Q3 2021) and $411.97 million (Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 2.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 206.1%); the worst was Q3 2021 (a decline of 81.9%).
- Per Business Quant data, FIRY's Total Liabilities in the three quarters before Q2 2026 was $185.14 million (Q1 2026), $181.64 million (Q4 2025) and $182.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Firy | 206.03 Mn | -549.68 Mn | 27.08 Mn | 187.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.23 Mn |
| Mar 31, 2026 | 185.14 Mn |
| Dec 31, 2025 | 181.64 Mn |
| Sep 30, 2025 | 182.07 Mn |
| Jun 30, 2025 | 187.86 Mn |
| Mar 31, 2025 | 203.07 Mn |
| Dec 31, 2024 | 201.23 Mn |
| Sep 30, 2024 | 190.72 Mn |
| Jun 30, 2024 | 187.63 Mn |
| Mar 31, 2024 | 196.80 Mn |
| Dec 31, 2023 | 185.34 Mn |
| Sep 30, 2023 | 200.39 Mn |
| Jun 30, 2023 | 198.66 Mn |
| Mar 31, 2023 | 357.78 Mn |
| Dec 31, 2022 | 342.89 Mn |
| Sep 30, 2022 | 357.80 Mn |
| Jun 30, 2022 | 371.08 Mn |
| Mar 31, 2022 | 395.66 Mn |
| Dec 31, 2021 | 411.97 Mn |
| Sep 30, 2021 | 116.87 Mn |
API Access
Firy Total Liabilities 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=total-liabilities&ticker=FIRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FIRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();