Klaviyo (KVYO) Research & Development (2022 - 2026)
Klaviyo's Research & Development was $91.93 million in Q2 2026, up 26.9% from $72.46 million a year earlier and up 14.9% from the prior quarter.
Klaviyo (KVYO) Research & Development (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Klaviyo's Research & Development was $321.37 million through Jun 30, 2026, up 19.7% year-over-year; for FY2025, it was $291.21 million, up 22.1% from FY2024.
- Research & Development shows a four-year compound annual growth rate of 45.2% (FY2021 to FY2025).
- In earlier years, Research & Development was $238.46 million in FY2024 (-9.0%), $262.18 million in FY2023 (+151.9%), $104.08 million in FY2022 (+58.7%) and $65.6 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Research & Development since Q3 2023.
- Compared with a year earlier, Research & Development has increased for seven straight quarters, with growth averaging 13.6% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2023 (growth of 370.1%); the worst was Q3 2024 (a decline of 60.6%).
- Per Business Quant data, KVYO's Research & Development in the three quarters before Q2 2026 was $80.03 million (Q1 2026), $76.73 million (Q4 2025) and $72.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 446.61 Bn | 415.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 381.31 Bn | 253.44 Bn | - | 2.40 Bn |
| 3 | Sap Se | 261.08 Bn | 188.86 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 198.01 Bn | 153.88 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 146.43 Bn | 124.89 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 116.19 Bn | 98.32 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 89.73 Bn | 69.08 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Thomson Reuters | 48.89 Bn | 45.67 Bn | - | - |
| 10 | Klaviyo | 5.08 Bn | 1.22 Bn | 269.10 Mn | 91.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.93 Mn |
| Mar 31, 2026 | 80.03 Mn |
| Dec 31, 2025 | 76.73 Mn |
| Sep 30, 2025 | 72.67 Mn |
| Jun 30, 2025 | 72.46 Mn |
| Mar 31, 2025 | 69.35 Mn |
| Dec 31, 2024 | 70.86 Mn |
| Sep 30, 2024 | 55.77 Mn |
| Jun 30, 2024 | 55.74 Mn |
| Mar 31, 2024 | 56.10 Mn |
| Dec 31, 2023 | 52.64 Mn |
| Sep 30, 2023 | 141.46 Mn |
| Jun 30, 2023 | 33.06 Mn |
| Mar 31, 2023 | 35.03 Mn |
| Dec 31, 2022 | 28.71 Mn |
| Sep 30, 2022 | 30.09 Mn |
Klaviyo 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=KVYO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "KVYO", "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=KVYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();