PagerDuty (PD) Property, Plant & Equipment (Net) (2019 - 2026)
PagerDuty (PD) reported Property, Plant & Equipment (Net) of $34.36 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 36.3% from $25.21 million a year earlier and up 7.6% from the prior quarter.
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Analysis
PagerDuty (PD) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), PagerDuty posted Property, Plant & Equipment (Net) of $29.19 million, up 36.8% from FY2025.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 18.2% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $21.34 million in FY2025 (+21.0%), $17.63 million in FY2024 (-4.1%), $18.39 million in FY2023 (+0.9%) and $18.23 million in FY2022 (+44.2%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2019.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last nine quarters, with growth averaging 31.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q1 2027 (growth of 45.6%); the low point was fiscal Q1 2025 (a decline of 5.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $31.94 million (Q1 2027), $29.19 million (Q4 2026) and $27.39 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | PagerDuty | 1.21 Bn | -709.40 Mn | 104.40 Mn | 34.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 34.36 Mn |
| Apr 30, 2026 | 31.94 Mn |
| Jan 31, 2026 | 29.19 Mn |
| Oct 31, 2025 | 27.39 Mn |
| Jul 31, 2025 | 25.21 Mn |
| Apr 30, 2025 | 21.93 Mn |
| Jan 31, 2025 | 21.34 Mn |
| Oct 31, 2024 | 19.57 Mn |
| Jul 31, 2024 | 18.24 Mn |
| Apr 30, 2024 | 17.40 Mn |
| Jan 31, 2024 | 17.63 Mn |
| Oct 31, 2023 | 18.75 Mn |
| Jul 31, 2023 | 17.89 Mn |
| Apr 30, 2023 | 18.34 Mn |
| Jan 31, 2023 | 18.39 Mn |
| Oct 31, 2022 | 18.34 Mn |
| Jul 31, 2022 | 18.50 Mn |
| Apr 30, 2022 | 17.95 Mn |
| Jan 31, 2022 | 18.23 Mn |
| Oct 31, 2021 | 14.63 Mn |
API Access
PagerDuty 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=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PD", "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=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();