Kaltura (KLTR) Total Non-Current Liabilities (2020 - 2026)
Kaltura (KLTR) reported Total Non-Current Liabilities of $32.64 million for Q2 2026, down 40.1% from $54.52 million a year earlier and down 0.5% from the prior quarter.
Kaltura (KLTR) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Kaltura posted Total Non-Current Liabilities of $31.88 million, down 42.3% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -21.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $55.26 million in FY2024 (+3.3%), $53.51 million in FY2023 (-0.9%), $53.99 million in FY2022 (+35.2%) and $39.93 million in FY2021 (-63.2%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $20.31 million in Q3 2023 and a high of $63.13 million in Q3 2021.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 138.0%); the low point was Q3 2023 (a decline of 63.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $32.79 million (Q1 2026), $31.88 million (Q4 2025) and $54.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 304.25 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 172.58 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 26.68 Bn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 110.97 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 313.00 Mn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 41.94 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 5.02 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 706.01 Mn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 37.96 Bn |
| 10 | Kaltura | 208.09 Mn | -9.09 Mn | 34.54 Mn | 32.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.64 Mn |
| Mar 31, 2026 | 32.79 Mn |
| Dec 31, 2025 | 31.88 Mn |
| Sep 30, 2025 | 54.16 Mn |
| Jun 30, 2025 | 54.52 Mn |
| Mar 31, 2025 | 54.32 Mn |
| Dec 31, 2024 | 55.26 Mn |
| Sep 30, 2024 | 48.32 Mn |
| Jun 30, 2024 | 49.34 Mn |
| Mar 31, 2024 | 51.01 Mn |
| Dec 31, 2023 | 53.51 Mn |
| Sep 30, 2023 | 20.31 Mn |
| Jun 30, 2023 | 21.65 Mn |
| Mar 31, 2023 | 22.92 Mn |
| Dec 31, 2022 | 53.99 Mn |
| Sep 30, 2022 | 56.13 Mn |
| Jun 30, 2022 | 58.54 Mn |
| Mar 31, 2022 | 42.01 Mn |
| Dec 31, 2021 | 39.93 Mn |
| Sep 30, 2021 | 63.13 Mn |
Kaltura 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=KLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();