PagerDuty (PD) Cash & Equivalents (2018 - 2026)
PagerDuty (PD) recorded Cash & Equivalents of $233.65 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 31.2% from $339.71 million a year earlier but up 11.9% from the prior quarter.
PagerDuty (PD) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), PagerDuty reported Cash & Equivalents of $237.4 million, down 31.5% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -6.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $346.46 million in FY2025 (-4.6%), $363.01 million in FY2024 (+32.5%), $274.02 million in FY2023 (-21.7%) and $349.79 million in FY2022 (+3.1%).
- Quarterly Cash & Equivalents has ranged from $208.88 million in fiscal Q1 2027 to $385.67 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 17.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 45.0% in fiscal Q3 2024, against a decline of 43.8% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $208.88 million (Q1 2027), $237.4 million (Q4 2026) and $324.26 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 3.61 Bn |
| 10 | PagerDuty | 1.19 Bn | -729.06 Mn | 104.40 Mn | 233.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 233.65 Mn |
| Apr 30, 2026 | 208.88 Mn |
| Jan 31, 2026 | 237.40 Mn |
| Oct 31, 2025 | 324.26 Mn |
| Jul 31, 2025 | 339.71 Mn |
| Apr 30, 2025 | 371.83 Mn |
| Jan 31, 2025 | 346.46 Mn |
| Oct 31, 2024 | 326.44 Mn |
| Jul 31, 2024 | 385.67 Mn |
| Apr 30, 2024 | 382.54 Mn |
| Jan 31, 2024 | 363.01 Mn |
| Oct 31, 2023 | 380.31 Mn |
| Jul 31, 2023 | 298.56 Mn |
| Apr 30, 2023 | 300.61 Mn |
| Jan 31, 2023 | 274.02 Mn |
| Oct 31, 2022 | 262.33 Mn |
| Jul 31, 2022 | 278.33 Mn |
| Apr 30, 2022 | 273.86 Mn |
| Jan 31, 2022 | 349.79 Mn |
| Oct 31, 2021 | 359.74 Mn |
PagerDuty Cash & Equivalents 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=cash-and-equivalents&ticker=PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();