Scienjoy Holding (SJ) Total Liabilities (2018 - 2026)
Scienjoy Holding's Total Liabilities came in at $15.87 million for Q2 2026, down 46.5% from $29.66 million a year earlier but up 7.1% from the prior quarter.
Scienjoy Holding (SJ) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Scienjoy Holding's Total Liabilities was $13.59 million, down 51.9% from FY2024.
- Total Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $28.23 million in FY2024 (-32.7%), $41.96 million in FY2023 (-14.8%), $49.23 million in FY2022 (+12.1%) and $43.93 million in FY2021 (-18.6%).
- The five-year range for quarterly Total Liabilities is $13.58 million (Q4 2025) to $52.84 million (Q2 2022).
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with an average decline of 28.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 11.0%), and the weakest in Q4 2025 (a decline of 54.9%).
- Business Quant data shows SJ's Total Liabilities at $14.81 million (Q1 2026), $13.58 million (Q4 2025) and $21.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 325.76 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 206.45 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 29.40 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 126.13 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.92 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 42.49 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 5.28 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 6.32 Bn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 38.67 Bn |
| 10 | Scienjoy Holding | 38.67 Mn | -140.55 Mn | 8.13 Mn | 15.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.87 Mn |
| Mar 31, 2026 | 14.81 Mn |
| Dec 31, 2025 | 13.58 Mn |
| Sep 30, 2025 | 21.62 Mn |
| Jun 30, 2025 | 29.66 Mn |
| Mar 31, 2025 | 29.98 Mn |
| Dec 31, 2024 | 30.13 Mn |
| Sep 30, 2024 | 28.91 Mn |
| Jun 30, 2024 | 28.66 Mn |
| Mar 31, 2024 | 31.13 Mn |
| Dec 31, 2023 | 42.03 Mn |
| Sep 30, 2023 | 35.78 Mn |
| Jun 30, 2023 | 35.30 Mn |
| Mar 31, 2023 | 39.06 Mn |
| Dec 31, 2022 | 48.76 Mn |
| Sep 30, 2022 | 36.88 Mn |
| Jun 30, 2022 | 52.84 Mn |
| Mar 31, 2022 | 46.88 Mn |
| Dec 31, 2021 | 43.93 Mn |
| Sep 30, 2021 | 42.44 Mn |
Scienjoy Holding 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=SJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SJ", "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=SJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();