Fastly (FSLY) Depreciation and Depletion (2018 - 2026)
Fastly's Depreciation and Depletion was $12.7 million in Q2 2026, down 15.3% from $15 million a year earlier but up 6.7% from the prior quarter.
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Analysis
Fastly (FSLY) Depreciation and Depletion (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fastly's Depreciation and Depletion was $55.43 million through Jun 30, 2026, down 3.8% year-over-year; for FY2025, it was $61.03 million, up 12.9% from FY2024.
- Depreciation and Depletion has now increased for seven consecutive years, with a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $54.04 million in FY2024 (+4.7%), $51.6 million in FY2023 (+21.1%), $42.62 million in FY2022 (+48.0%) and $28.8 million in FY2021 (+44.2%).
- Quarterly Depreciation and Depletion has moved between $7.4 million (Q3 2021) and $15.6 million (Q3 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in six of the last eight quarters, with growth averaging 2.6%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2022 (growth of 55.1%); the worst was Q1 2026 (a decline of 21.7%).
- Per Business Quant data, FSLY's Depreciation and Depletion in the three quarters before Q2 2026 was $11.9 million (Q1 2026), $15.23 million (Q4 2025) and $15.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 10.30 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 51.50 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | - |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 1.40 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 16.30 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | - |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | 12.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.70 Mn |
| Mar 31, 2026 | 11.90 Mn |
| Dec 31, 2025 | 15.23 Mn |
| Sep 30, 2025 | 15.60 Mn |
| Jun 30, 2025 | 15.00 Mn |
| Mar 31, 2025 | 15.20 Mn |
| Dec 31, 2024 | 13.74 Mn |
| Sep 30, 2024 | 13.70 Mn |
| Jun 30, 2024 | 13.30 Mn |
| Mar 31, 2024 | 13.30 Mn |
| Dec 31, 2023 | 13.59 Mn |
| Sep 30, 2023 | 13.10 Mn |
| Jun 30, 2023 | 12.90 Mn |
| Mar 31, 2023 | 12.04 Mn |
| Dec 31, 2022 | 11.37 Mn |
| Sep 30, 2022 | 10.70 Mn |
| Jun 30, 2022 | 10.70 Mn |
| Mar 31, 2022 | 9.90 Mn |
| Dec 31, 2021 | 8.09 Mn |
| Sep 30, 2021 | 7.40 Mn |
API Access
Fastly 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=FSLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FSLY", "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=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();