Scienjoy Holding (SJ) Operating Income (2019 - 2026)
Scienjoy Holding (SJ) reported Operating Income of $1.64 million for the quarter ended Mar 31, 2026, down 13.3% from $1.89 million a year earlier.
Scienjoy Holding (SJ) Operating Income (2019 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Scienjoy Holding's Operating Income came in at -$11.46 million; for the year ended Dec 31, 2025, it came in at -$11.28 million.
- By year, Operating Income came in at $5.58 million in the year ended Dec 31, 2024 (+73.8%), $3.21 million in the year ended Dec 31, 2023 (-85.2%), $21.72 million in the year ended Dec 31, 2022 (-16.6%) and $26.05 million in the year ended Dec 31, 2021.
- Five-year quarterly Operating Income spans a low of -$17.64 million in the quarter ended Dec 31, 2025 and a high of $12.34 million in the quarter ended Mar 31, 2022.
- Year over year, Operating Income gained in two of the last five quarters, with growth averaging 17.5%.
- The high point for year-over-year Operating Income in five years was the quarter ended Sep 30, 2022 (growth of 257.5%); the low point was the quarter ended Mar 31, 2023 (a decline of 94.2%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at -$17.64 million (quarter ended Dec 31, 2025), $1.29 million (quarter ended Sep 30, 2025) and $3.25 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 2.23 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 2.50 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 4.09 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 1.49 Bn |
| 10 | Scienjoy Holding | 28.41 Mn | -146.23 Mn | 7.27 Mn | 1.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.64 Mn |
| Dec 31, 2025 | -17.64 Mn |
| Sep 30, 2025 | 1.29 Mn |
| Jun 30, 2025 | 3.25 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 754,827.63 |
| Sep 30, 2024 | -497,981.95 |
| Jun 30, 2024 | 3.93 Mn |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | 1.98 Mn |
| Sep 30, 2023 | -1.09 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | 715,000.00 |
| Dec 31, 2022 | -2.74 Mn |
| Sep 30, 2022 | 5.18 Mn |
| Jun 30, 2022 | 8.31 Mn |
| Mar 31, 2022 | 12.34 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 1.45 Mn |
| Jun 30, 2021 | 7.08 Mn |
Scienjoy Holding Operating Income 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=operating-income&ticker=SJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=SJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();