PagerDuty (PD) Capital Expenditures (2018 - 2026)
PagerDuty (PD) recorded Capital Expenditures of $2.23 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 154.7% from $874,000 a year earlier and up 130.7% from the prior quarter.
PagerDuty (PD) Capital Expenditures (2018 - 2026) Analysis & Trends
On a TTM basis, PagerDuty's Capital Expenditures came in at $4.82 million as of Jul 31, 2026, up 59.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $2.94 million, up 5.4% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of -6.1% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $2.79 million in FY2025 (+29.0%), $2.16 million in FY2024 (-53.3%), $4.64 million in FY2023 (+34.1%) and $3.46 million in FY2022 (-14.4%).
- The fiscal Q2 2027 figure is the highest quarterly Capital Expenditures since fiscal Q1 2021.
- On a year-over-year basis, Capital Expenditures rose in six of the last eight quarters, with growth averaging 57.8%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 858.8% in fiscal Q3 2023, against a decline of 88.7% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $965,000 (Q1 2027), $883,000 (Q4 2026) and $743,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 21.05 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -1.68 Bn |
| 10 | PagerDuty | 1.14 Bn | -779.40 Mn | 104.40 Mn | 2.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.23 Mn |
| Apr 30, 2026 | 965,000.00 |
| Jan 31, 2026 | 883,000.00 |
| Oct 31, 2025 | 743,000.00 |
| Jul 31, 2025 | 874,000.00 |
| Apr 30, 2025 | 441,000.00 |
| Jan 31, 2025 | 1.15 Mn |
| Oct 31, 2024 | 552,000.00 |
| Jul 31, 2024 | 637,000.00 |
| Apr 30, 2024 | 457,000.00 |
| Jan 31, 2024 | 971,000.00 |
| Oct 31, 2023 | 245,000.00 |
| Jul 31, 2023 | 713,000.00 |
| Apr 30, 2023 | 235,000.00 |
| Jan 31, 2023 | 882,000.00 |
| Oct 31, 2022 | 815,000.00 |
| Jul 31, 2022 | 862,000.00 |
| Apr 30, 2022 | 2.08 Mn |
| Jan 31, 2022 | 2.08 Mn |
| Oct 31, 2021 | 85,000.00 |
PagerDuty Capital Expenditures 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=capital-expenditures&ticker=PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();