Five9 (FIVN) Depreciation and Depletion (2013 - 2026)
Five9 (FIVN) posted Depreciation and Depletion of $16.5 million for Q2 2026, up 47.3% from $11.2 million a year earlier and up 14.6% from the prior quarter.
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Analysis
Five9 (FIVN) Depreciation and Depletion (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Five9 was $56.6 million, up 34.8% year-over-year; for FY2025, it came in at $47.3 million, up 17.4% from FY2024.
- Annual Depreciation and Depletion has increased for eight consecutive years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- In prior years, Five9's Depreciation and Depletion was $40.3 million in FY2024 (+10.4%), $36.5 million in FY2023 (+10.6%), $33 million in FY2022 (+22.7%) and $26.9 million in FY2021 (+47.8%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q1 2013.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last 34 quarters, with growth averaging 21.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 2.3% in Q2 2023 to 50.0% in Q4 2021.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $14.4 million (Q1 2026), $13.4 million (Q4 2025) and $12.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | - |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | - |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | 8.30 Mn |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 18.40 Mn |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | - |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | - |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 23.30 Mn |
| 10 | Five9 | 2.11 Bn | -662.58 Mn | 172.73 Mn | 16.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.70 Mn |
| Jun 30, 2026 | 16.50 Mn |
| Mar 31, 2026 | 14.40 Mn |
| Dec 31, 2025 | 13.40 Mn |
| Sep 30, 2025 | 12.30 Mn |
| Jun 30, 2025 | 11.20 Mn |
| Mar 31, 2025 | 10.40 Mn |
| Dec 31, 2024 | 10.50 Mn |
| Sep 30, 2024 | 9.90 Mn |
| Jun 30, 2024 | 10.30 Mn |
| Mar 31, 2024 | 9.50 Mn |
| Dec 31, 2023 | 9.80 Mn |
| Sep 30, 2023 | 9.30 Mn |
| Jun 30, 2023 | 8.90 Mn |
| Mar 31, 2023 | 8.50 Mn |
| Dec 31, 2022 | 8.20 Mn |
| Sep 30, 2022 | 8.30 Mn |
| Jun 30, 2022 | 8.70 Mn |
| Mar 31, 2022 | 7.80 Mn |
| Dec 31, 2021 | 7.50 Mn |
API Access
Five9 Depreciation and Depletion 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=depreciation-and-depletion&ticker=FIVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();