Kaltura (KLTR) Research & Development (2020 - 2026)
Kaltura (KLTR) recorded Research & Development of $12.71 million in Q2 2026, up 9.9% from $11.57 million a year earlier and up 18.4% from the prior quarter.
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Analysis
Kaltura (KLTR) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Kaltura's Research & Development came in at $45.78 million as of Jun 30, 2026, down 6.7% year-over-year; for FY2025, it came in at $45.99 million, down 7.0% from FY2024.
- Annual Research & Development has declined for three straight years, though with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $49.43 million in FY2024 (-5.7%), $52.4 million in FY2023 (-8.7%), $57.39 million in FY2022 (+18.6%) and $48.38 million in FY2021 (+63.6%).
- The Q2 2026 figure is the highest quarterly Research & Development since Q4 2024.
- On a year-over-year basis, Research & Development rose in three of the last eight quarters, with an average decline of 3.4%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 69.9% in Q3 2021, against a decline of 16.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.74 million (Q1 2026), $10.86 million (Q4 2025) and $11.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Kaltura | 197.28 Mn | -19.90 Mn | 34.54 Mn | 12.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.71 Mn |
| Mar 31, 2026 | 10.74 Mn |
| Dec 31, 2025 | 10.86 Mn |
| Sep 30, 2025 | 11.48 Mn |
| Jun 30, 2025 | 11.57 Mn |
| Mar 31, 2025 | 12.09 Mn |
| Dec 31, 2024 | 12.97 Mn |
| Sep 30, 2024 | 12.43 Mn |
| Jun 30, 2024 | 12.03 Mn |
| Mar 31, 2024 | 12.01 Mn |
| Dec 31, 2023 | 12.74 Mn |
| Sep 30, 2023 | 12.56 Mn |
| Jun 30, 2023 | 12.98 Mn |
| Mar 31, 2023 | 14.13 Mn |
| Dec 31, 2022 | 14.18 Mn |
| Sep 30, 2022 | 13.89 Mn |
| Jun 30, 2022 | 14.44 Mn |
| Mar 31, 2022 | 14.87 Mn |
| Dec 31, 2021 | 13.33 Mn |
| Sep 30, 2021 | 12.36 Mn |
API Access
Kaltura Research & Development 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=research-and-development&ticker=KLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();