Kaltura (KLTR) Shares Outstanding (2019 - 2026)
Kaltura (KLTR) reported Shares Outstanding of 147.58 million for Q2 2026, down 3.9% from 153.54 million a year earlier but up 1.2% from the prior quarter.
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Analysis
Kaltura (KLTR) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Kaltura posted Shares Outstanding of 152.91 million, up 3.4% from FY2024.
- Shares Outstanding has increased for six consecutive years, with a five-year compound annual growth rate of 43.7% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 147.93 million in FY2024 (+7.0%), 138.24 million in FY2023 (+6.0%), 130.37 million in FY2022 (+83.4%) and 71.07 million in FY2021 (+185.0%).
- Five-year quarterly Shares Outstanding spans a low of 71.07 million in Q4 2021 and a high of 154.78 million in Q3 2025.
- Year over year, Shares Outstanding gained in six of the last eight quarters, with growth averaging 2.9%.
- The high point for year-over-year Shares Outstanding in five years was Q2 2022 (growth of 403.5%); the low point was Q1 2026 (a decline of 5.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 145.84 million (Q1 2026), 152.91 million (Q4 2025) and 154.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn | 2.54 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn | 4.13 Bn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn | 2.32 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - | 768.00 Mn |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn | 205.41 Mn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn | 1.40 Bn |
| 10 | Kaltura | 211.78 Mn | -5.40 Mn | 34.54 Mn | 147.58 Mn |
Historic Data
Download Data
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 | 154.78 Mn |
| Jun 30, 2025 | 153.54 Mn |
| Mar 31, 2025 | 154.01 Mn |
| Dec 31, 2024 | 147.93 Mn |
| Sep 30, 2024 | 149.31 Mn |
| Jun 30, 2024 | 147.61 Mn |
| Mar 31, 2024 | 144.25 Mn |
| Dec 31, 2023 | 138.24 Mn |
| Sep 30, 2023 | 139.19 Mn |
| Jun 30, 2023 | 136.78 Mn |
| Mar 31, 2023 | 135.09 Mn |
| Dec 31, 2022 | 130.37 Mn |
| Sep 30, 2022 | 132.19 Mn |
| Jun 30, 2022 | 129.75 Mn |
| Mar 31, 2022 | 127.83 Mn |
| Dec 31, 2021 | 71.07 Mn |
| Sep 30, 2021 | 102.94 Mn |
API Access
Kaltura Shares Outstanding 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&ticker=KLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();