Cineverse (CNVS) Total Liabilities (2011 - 2026)
Cineverse (CNVS) recorded Total Liabilities of $95.09 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 274.7% from $25.38 million a year earlier and up 10.6% from the prior quarter.
Cineverse (CNVS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cineverse reported Total Liabilities of $85.96 million, up 147.5% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 7.6% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $34.72 million in FY2025 (+7.7%), $32.23 million in FY2024 (-34.1%), $48.92 million in FY2023 (-23.2%) and $63.69 million in FY2022 (+6.9%).
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities since fiscal Q1 2021.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 43.2%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 274.7% in fiscal Q1 2027, against a decline of 37.8% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $85.96 million (Q4 2026), $30.01 million (Q3 2026) and $24.78 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 325.76 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 206.45 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 29.40 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 114.47 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 1.92 Bn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 42.49 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 5.28 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 7.85 Bn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 38.67 Bn |
| 10 | Cineverse | 34.52 Mn | 22.02 Mn | 10.66 Mn | 95.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.09 Mn |
| Mar 31, 2026 | 85.96 Mn |
| Dec 31, 2025 | 30.01 Mn |
| Sep 30, 2025 | 24.78 Mn |
| Jun 30, 2025 | 25.38 Mn |
| Mar 31, 2025 | 34.72 Mn |
| Dec 31, 2024 | 44.08 Mn |
| Sep 30, 2024 | 31.81 Mn |
| Jun 30, 2024 | 32.91 Mn |
| Mar 31, 2024 | 32.23 Mn |
| Dec 31, 2023 | 39.90 Mn |
| Sep 30, 2023 | 38.81 Mn |
| Jun 30, 2023 | 44.27 Mn |
| Mar 31, 2023 | 48.92 Mn |
| Dec 31, 2022 | 57.25 Mn |
| Sep 30, 2022 | 62.38 Mn |
| Jun 30, 2022 | 58.23 Mn |
| Mar 31, 2022 | 63.69 Mn |
| Dec 31, 2021 | 58.55 Mn |
| Sep 30, 2021 | 56.38 Mn |
Cineverse 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=CNVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CNVS", "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=CNVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();