Five9 (FIVN) Operating Expenses (2013 - 2026)
Five9 (FIVN) recorded Operating Expenses of $164.77 million in Q2 2026, up 5.0% from $156.97 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Five9 (FIVN) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Five9's Operating Expenses came in at $604.68 million as of Jun 30, 2026, down 3.3% year-over-year; for FY2025, it came in at $604 million, down 1.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $615.7 million in FY2024 (+6.8%), $576.37 million in FY2023 (+15.5%), $498.93 million in FY2022 (+26.4%) and $394.74 million in FY2021 (+47.9%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2013.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 0.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 57.6% in Q3 2021, against a decline of 10.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $152.03 million (Q1 2026), $146.64 million (Q4 2025) and $141.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Five9 | 2.59 Bn | -161.10 Mn | 166.74 Mn | 164.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.77 Mn |
| Mar 31, 2026 | 152.03 Mn |
| Dec 31, 2025 | 146.64 Mn |
| Sep 30, 2025 | 141.24 Mn |
| Jun 30, 2025 | 156.97 Mn |
| Mar 31, 2025 | 159.16 Mn |
| Dec 31, 2024 | 151.82 Mn |
| Sep 30, 2024 | 157.67 Mn |
| Jun 30, 2024 | 153.04 Mn |
| Mar 31, 2024 | 153.18 Mn |
| Dec 31, 2023 | 145.17 Mn |
| Sep 30, 2023 | 144.76 Mn |
| Jun 30, 2023 | 143.76 Mn |
| Mar 31, 2023 | 142.68 Mn |
| Dec 31, 2022 | 125.30 Mn |
| Sep 30, 2022 | 125.96 Mn |
| Jun 30, 2022 | 122.91 Mn |
| Mar 31, 2022 | 124.75 Mn |
| Dec 31, 2021 | 105.81 Mn |
| Sep 30, 2021 | 106.18 Mn |
API Access
Five9 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=FIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FIVN", "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=FIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();