Kaltura (KLTR) Shares Outstanding (Diluted) (2020 - 2026)
Kaltura's Shares Outstanding (Diluted) came in at 147.58 million for Q2 2026, down 3.9% from 153.54 million a year earlier but up 1.2% from the prior quarter.
Kaltura (KLTR) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Kaltura's Shares Outstanding (Diluted) was 152.91 million, up 3.4% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 43.4% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 147.93 million in FY2024 (+7.0%), 138.24 million in FY2023 (+4.6%), 132.19 million in FY2022 (+28.4%) and 102.94 million in FY2021 (+308.9%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 102.94 million (Q3 2021) to 154.01 million (Q1 2025).
- Year-over-year, Shares Outstanding (Diluted) increased in five of the last eight quarters, with growth averaging 4.3%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 398.1%), and the weakest in Q1 2026 (a decline of 5.3%).
- Business Quant data shows KLTR's Shares Outstanding (Diluted) at 145.84 million (Q1 2026), 152.91 million (Q4 2025) and 153.54 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Kaltura | 194.24 Mn | -22.94 Mn | 34.54 Mn | 147.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.58 Mn |
| Mar 31, 2026 | 145.84 Mn |
| Dec 31, 2025 | 152.91 Mn |
| Sep 30, 2025 | 153.54 Mn |
| Jun 30, 2025 | 153.54 Mn |
| Mar 31, 2025 | 154.01 Mn |
| Dec 31, 2024 | 147.93 Mn |
| Sep 30, 2024 | 138.24 Mn |
| Jun 30, 2024 | 138.24 Mn |
| Mar 31, 2024 | 138.24 Mn |
| Dec 31, 2023 | 138.24 Mn |
| Sep 30, 2023 | 139.19 Mn |
| Jun 30, 2023 | 132.19 Mn |
| Mar 31, 2023 | 132.19 Mn |
| Dec 31, 2022 | 132.19 Mn |
| Sep 30, 2022 | 132.19 Mn |
| Jun 30, 2022 | 129.75 Mn |
| Mar 31, 2022 | 127.83 Mn |
| Dec 31, 2021 | 102.94 Mn |
| Sep 30, 2021 | 102.94 Mn |
Kaltura Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=KLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();