Firy (FIRY) Total Non-Current Liabilities (2019 - 2026)
Firy (FIRY) recorded Total Non-Current Liabilities of $3.37 million in Q2 2026, down 98.2% from $187.56 million a year earlier but up 317.3% from the prior quarter.
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Analysis
Firy (FIRY) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Firy reported Total Non-Current Liabilities of $924,000, down 99.3% from FY2024.
- Annual Total Non-Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -55.9% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $135.33 million in FY2024 (-0.1%), $135.48 million in FY2023 (-53.8%), $293.4 million in FY2022 (-26.4%) and $398.57 million in FY2021 (+619.5%).
- Quarterly Total Non-Current Liabilities has ranged from $807,000 in Q1 2026 to $398.57 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for four consecutive quarters, with an average decline of 32.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 677.1% in Q1 2022, against a decline of 99.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $807,000 (Q1 2026), $924,000 (Q4 2025) and $181.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Firy | 206.03 Mn | -549.68 Mn | 27.08 Mn | 3.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.37 Mn |
| Mar 31, 2026 | 807,000.00 |
| Dec 31, 2025 | 924,000.00 |
| Sep 30, 2025 | 181.77 Mn |
| Jun 30, 2025 | 187.56 Mn |
| Mar 31, 2025 | 202.74 Mn |
| Dec 31, 2024 | 135.33 Mn |
| Sep 30, 2024 | 190.30 Mn |
| Jun 30, 2024 | 187.12 Mn |
| Mar 31, 2024 | 196.08 Mn |
| Dec 31, 2023 | 135.48 Mn |
| Sep 30, 2023 | 135.59 Mn |
| Jun 30, 2023 | 135.60 Mn |
| Mar 31, 2023 | 356.70 Mn |
| Dec 31, 2022 | 293.40 Mn |
| Sep 30, 2022 | 356.25 Mn |
| Jun 30, 2022 | 370.04 Mn |
| Mar 31, 2022 | 382.57 Mn |
| Dec 31, 2021 | 398.57 Mn |
| Sep 30, 2021 | 102.60 Mn |
API Access
Firy Total Non-Current 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-non-current-liabilities&ticker=FIRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FIRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();