Fastly (FSLY) Property, Plant & Equipment (Net) (2018 - 2026)
Fastly (FSLY) recorded Property, Plant & Equipment (Net) of $220.35 million in Q2 2026, up 21.2% from $181.77 million a year earlier and up 2.1% from the prior quarter.
Fastly (FSLY) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Fastly reported Property, Plant & Equipment (Net) of $186.79 million, up 4.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $179.1 million in FY2024 (+1.4%), $176.61 million in FY2023 (-2.1%), $180.38 million in FY2022 (+8.0%) and $166.96 million in FY2021 (+74.0%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2018.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for eight consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 77.0% in Q1 2022, against a decline of 4.0% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $215.91 million (Q1 2026), $186.79 million (Q4 2025) and $182.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 313.08 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 5.74 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 703.21 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 25.22 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 13.05 Bn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 46.74 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 227.70 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 134.89 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 140.10 Mn |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | 220.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220.35 Mn |
| Mar 31, 2026 | 215.91 Mn |
| Dec 31, 2025 | 186.79 Mn |
| Sep 30, 2025 | 182.90 Mn |
| Jun 30, 2025 | 181.77 Mn |
| Mar 31, 2025 | 177.88 Mn |
| Dec 31, 2024 | 179.10 Mn |
| Sep 30, 2024 | 180.29 Mn |
| Jun 30, 2024 | 177.06 Mn |
| Mar 31, 2024 | 177.57 Mn |
| Dec 31, 2023 | 176.61 Mn |
| Sep 30, 2023 | 171.91 Mn |
| Jun 30, 2023 | 179.05 Mn |
| Mar 31, 2023 | 179.92 Mn |
| Dec 31, 2022 | 180.38 Mn |
| Sep 30, 2022 | 179.08 Mn |
| Jun 30, 2022 | 173.95 Mn |
| Mar 31, 2022 | 174.55 Mn |
| Dec 31, 2021 | 166.96 Mn |
| Sep 30, 2021 | 147.73 Mn |
Fastly Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();