Kaltura (KLTR) Accumulated Expenses (2020 - 2026)
Kaltura (KLTR) posted Accumulated Expenses of $3.27 million for Q2 2026, down 51.0% from $6.67 million a year earlier but up 18.0% from the prior quarter.
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Analysis
Kaltura (KLTR) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Kaltura's Accumulated Expenses came in at $3.36 million, down 47.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -21.5% (FY2020 to FY2025).
- In prior years, Kaltura's Accumulated Expenses was $6.37 million in FY2024 (+46.2%), $4.35 million in FY2023 (-41.7%), $7.47 million in FY2022 (+3.2%) and $7.24 million in FY2021 (-35.7%).
- Quarterly Accumulated Expenses has run from a low of $7,464 in Q3 2021 to a high of $7.72 million in Q1 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with an average decline of 3.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2025, with growth of 51.5%; the weakest was Q1 2026, with a decline of 57.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.77 million (Q1 2026), $3.36 million (Q4 2025) and $6.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Kaltura | 194.24 Mn | -22.94 Mn | 34.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.27 Mn |
| Mar 31, 2026 | 2.77 Mn |
| Dec 31, 2025 | 3.36 Mn |
| Sep 30, 2025 | 6.33 Mn |
| Jun 30, 2025 | 6.67 Mn |
| Mar 31, 2025 | 6.48 Mn |
| Dec 31, 2024 | 6.37 Mn |
| Sep 30, 2024 | 5.14 Mn |
| Jun 30, 2024 | 4.40 Mn |
| Mar 31, 2024 | 4.86 Mn |
| Dec 31, 2023 | 4.35 Mn |
| Sep 30, 2023 | 6.76 Mn |
| Jun 30, 2023 | 6.61 Mn |
| Mar 31, 2023 | 7.72 Mn |
| Dec 31, 2022 | 7.47 Mn |
| Sep 30, 2022 | 6.69 Mn |
| Jun 30, 2022 | 5.66 Mn |
| Mar 31, 2022 | 6.47 Mn |
| Dec 31, 2021 | 7.24 Mn |
| Sep 30, 2021 | 7,464.00 |
API Access
Kaltura Accumulated Expenses 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=accumulated-expenses&ticker=KLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=KLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();