Klaviyo (KVYO) Operating Expenses (2022 - 2026)
Klaviyo (KVYO) recorded Operating Expenses of $284.07 million in Q2 2026, up 12.2% from $253.21 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Klaviyo (KVYO) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Klaviyo's Operating Expenses came in at $1.05 billion as of Jun 30, 2026, up 14.8% year-over-year; for FY2025, it came in at $989.25 million, up 23.6% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 36.5% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $800.24 million in FY2024 (-5.9%), $850.83 million in FY2023 (+112.8%), $399.76 million in FY2022 (+40.2%) and $285.18 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2023.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 273.6% in Q3 2023, against a decline of 53.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $267.15 million (Q1 2026), $254.6 million (Q4 2025) and $245.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 446.61 Bn | 415.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 381.31 Bn | 253.44 Bn | - | 12.62 Bn |
| 3 | Sap Se | 261.08 Bn | 188.86 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 198.01 Bn | 153.88 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 146.43 Bn | 124.89 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 116.19 Bn | 98.32 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 89.73 Bn | 69.08 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Thomson Reuters | 48.89 Bn | 45.67 Bn | - | -1.21 Bn |
| 10 | Klaviyo | 5.08 Bn | 1.22 Bn | 269.10 Mn | 284.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284.07 Mn |
| Mar 31, 2026 | 267.15 Mn |
| Dec 31, 2025 | 254.60 Mn |
| Sep 30, 2025 | 245.57 Mn |
| Jun 30, 2025 | 253.21 Mn |
| Mar 31, 2025 | 235.88 Mn |
| Dec 31, 2024 | 233.08 Mn |
| Sep 30, 2024 | 194.02 Mn |
| Jun 30, 2024 | 186.00 Mn |
| Mar 31, 2024 | 187.15 Mn |
| Dec 31, 2023 | 192.94 Mn |
| Sep 30, 2023 | 419.19 Mn |
| Jun 30, 2023 | 120.08 Mn |
| Mar 31, 2023 | 118.64 Mn |
| Dec 31, 2022 | 111.98 Mn |
| Sep 30, 2022 | 112.21 Mn |
API Access
Klaviyo Operating 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=operating-expenses&ticker=KVYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KVYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();