Kaltura (KLTR) Amortization of Deferred Charges (2020 - 2026)
Kaltura's Amortization of Deferred Charges came in at $2.31 million for Q2 2026, down 20.0% from $2.88 million a year earlier and down 10.5% from the prior quarter.
Kaltura (KLTR) Amortization of Deferred Charges (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kaltura reported Amortization of Deferred Charges of $10.34 million, down 9.8% year-over-year; for FY2025, it was $11.2 million, down 2.1% from FY2024.
- Amortization of Deferred Charges carries a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- Going back by year, Amortization of Deferred Charges was $11.45 million in FY2024 (-1.9%), $11.67 million in FY2023 (+7.4%), $10.87 million in FY2022 (+34.6%) and $8.08 million in FY2021 (+90.9%).
- The Q2 2026 figure represents the lowest quarterly Amortization of Deferred Charges since Q3 2021.
- Year-over-year, Amortization of Deferred Charges has declined for four consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- The fastest year-over-year change in Amortization of Deferred Charges over five years came in Q4 2021 (growth of 140.8%), and the weakest in Q2 2026 (a decline of 20.0%).
- Business Quant data shows KLTR's Amortization of Deferred Charges at $2.58 million (Q1 2026), $2.68 million (Q4 2025) and $2.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Kaltura | 198.80 Mn | -18.38 Mn | 34.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.31 Mn |
| Mar 31, 2026 | 2.58 Mn |
| Dec 31, 2025 | 2.68 Mn |
| Sep 30, 2025 | 2.78 Mn |
| Jun 30, 2025 | 2.88 Mn |
| Mar 31, 2025 | 2.86 Mn |
| Dec 31, 2024 | 2.90 Mn |
| Sep 30, 2024 | 2.82 Mn |
| Jun 30, 2024 | 2.84 Mn |
| Mar 31, 2024 | 2.89 Mn |
| Dec 31, 2023 | 2.90 Mn |
| Sep 30, 2023 | 2.90 Mn |
| Jun 30, 2023 | 2.90 Mn |
| Mar 31, 2023 | 2.97 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 2.82 Mn |
| Jun 30, 2022 | 2.62 Mn |
| Mar 31, 2022 | 2.44 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 1.92 Mn |
Kaltura Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=KLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();