PagerDuty (PD) Accumulated Expenses (2019 - 2026)
PagerDuty (PD) reported Accumulated Expenses of $18.29 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 21.8% from $15.02 million a year earlier and up 20.0% from the prior quarter.
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Analysis
PagerDuty (PD) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), PagerDuty posted Accumulated Expenses of $19.87 million, down 2.2% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of 15.6% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $20.32 million in FY2025 (+31.3%), $15.47 million in FY2024 (+31.1%), $11.8 million in FY2023 (-13.5%) and $13.64 million in FY2022 (+41.7%).
- Five-year quarterly Accumulated Expenses spans a low of $10.98 million in fiscal Q2 2024 and a high of $20.32 million in fiscal Q4 2025.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 12.3%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2025 (growth of 46.6%); the low point was fiscal Q2 2024 (a decline of 39.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $15.24 million (Q1 2027), $19.87 million (Q4 2026) and $17.28 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | PagerDuty | 1.19 Bn | -729.06 Mn | 104.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 18.29 Mn |
| Apr 30, 2026 | 15.24 Mn |
| Jan 31, 2026 | 19.87 Mn |
| Oct 31, 2025 | 17.28 Mn |
| Jul 31, 2025 | 15.02 Mn |
| Apr 30, 2025 | 18.51 Mn |
| Jan 31, 2025 | 20.32 Mn |
| Oct 31, 2024 | 15.80 Mn |
| Jul 31, 2024 | 16.10 Mn |
| Apr 30, 2024 | 12.89 Mn |
| Jan 31, 2024 | 15.47 Mn |
| Oct 31, 2023 | 13.32 Mn |
| Jul 31, 2023 | 10.98 Mn |
| Apr 30, 2023 | 11.32 Mn |
| Jan 31, 2023 | 11.80 Mn |
| Oct 31, 2022 | 12.88 Mn |
| Jul 31, 2022 | 18.27 Mn |
| Apr 30, 2022 | 14.20 Mn |
| Jan 31, 2022 | 13.64 Mn |
| Oct 31, 2021 | 11.17 Mn |
API Access
PagerDuty Accumulated Expenses 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=accumulated-expenses&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();