Kaltura (KLTR) Total Current Liabilities (2020 - 2026)
Kaltura (KLTR) reported Total Current Liabilities of $134.49 million for Q2 2026, up 37.3% from $97.97 million a year earlier and up 9.9% from the prior quarter.
Kaltura (KLTR) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Kaltura posted Total Current Liabilities of $126.48 million, up 24.4% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $101.66 million in FY2024 (+1.8%), $99.91 million in FY2023 (-8.2%), $108.84 million in FY2022 (+11.0%) and $98.09 million in FY2021 (+18.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 8.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2026 (growth of 37.3%); the low point was Q2 2024 (a decline of 25.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $122.34 million (Q1 2026), $126.48 million (Q4 2025) and $100.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.01 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.35 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.25 Bn |
| 10 | Kaltura | 197.28 Mn | -19.90 Mn | 34.54 Mn | 134.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.49 Mn |
| Mar 31, 2026 | 122.34 Mn |
| Dec 31, 2025 | 126.48 Mn |
| Sep 30, 2025 | 100.73 Mn |
| Jun 30, 2025 | 97.97 Mn |
| Mar 31, 2025 | 95.82 Mn |
| Dec 31, 2024 | 101.66 Mn |
| Sep 30, 2024 | 106.12 Mn |
| Jun 30, 2024 | 98.49 Mn |
| Mar 31, 2024 | 96.94 Mn |
| Dec 31, 2023 | 99.91 Mn |
| Sep 30, 2023 | 127.04 Mn |
| Jun 30, 2023 | 131.73 Mn |
| Mar 31, 2023 | 124.92 Mn |
| Dec 31, 2022 | 108.84 Mn |
| Sep 30, 2022 | 103.18 Mn |
| Jun 30, 2022 | 97.53 Mn |
| Mar 31, 2022 | 92.38 Mn |
| Dec 31, 2021 | 98.09 Mn |
| Sep 30, 2021 | 108.00 Mn |
Kaltura Total 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-current-liabilities&ticker=KLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();