Kaltura (KLTR) Total Liabilities (2020 - 2026)
Kaltura (KLTR) posted Total Liabilities of $167.13 million for Q2 2026, up 9.6% from $152.49 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Kaltura (KLTR) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Kaltura's Total Liabilities came in at $158.37 million, up 0.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -14.7% (FY2020 to FY2025).
- In prior years, Kaltura's Total Liabilities was $156.92 million in FY2024 (+2.3%), $153.42 million in FY2023 (-5.8%), $162.83 million in FY2022 (+18.0%) and $138.02 million in FY2021 (-60.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 3.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 18.0%; the weakest was Q4 2021, with a decline of 60.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $155.12 million (Q1 2026), $158.37 million (Q4 2025) and $154.89 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 | Kaltura | 197.28 Mn | -19.90 Mn | 34.54 Mn | 167.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.13 Mn |
| Mar 31, 2026 | 155.12 Mn |
| Dec 31, 2025 | 158.37 Mn |
| Sep 30, 2025 | 154.89 Mn |
| Jun 30, 2025 | 152.49 Mn |
| Mar 31, 2025 | 150.14 Mn |
| Dec 31, 2024 | 156.92 Mn |
| Sep 30, 2024 | 154.44 Mn |
| Jun 30, 2024 | 147.83 Mn |
| Mar 31, 2024 | 147.94 Mn |
| Dec 31, 2023 | 153.42 Mn |
| Sep 30, 2023 | 147.34 Mn |
| Jun 30, 2023 | 153.38 Mn |
| Mar 31, 2023 | 147.84 Mn |
| Dec 31, 2022 | 162.83 Mn |
| Sep 30, 2022 | 159.31 Mn |
| Jun 30, 2022 | 156.07 Mn |
| Mar 31, 2022 | 134.39 Mn |
| Dec 31, 2021 | 138.02 Mn |
| Sep 30, 2021 | 171.13 Mn |
API Access
Kaltura 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=KLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KLTR", "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=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();