PagerDuty (PD) Operating Expenses (2018 - 2026)
PagerDuty (PD) recorded Operating Expenses of $94.16 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.6% from $100.84 million a year earlier but up 1.5% from the prior quarter.
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Analysis
PagerDuty (PD) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, PagerDuty's Operating Expenses came in at $387.7 million as of Jul 31, 2026, down 10.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $412.56 million, down 7.8% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 10.6% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $447.61 million in FY2025 (-0.3%), $449.11 million in FY2024 (+4.5%), $429.74 million in FY2023 (+28.4%) and $334.75 million in FY2022 (+34.4%).
- Quarterly Operating Expenses has ranged from $84.54 million in fiscal Q3 2022 to $124.19 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for nine consecutive quarters, with an average decline of 8.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 37.2% in fiscal Q1 2023, against a decline of 16.4% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $92.76 million (Q1 2027), $102.66 million (Q4 2026) and $98.11 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | PagerDuty | 1.14 Bn | -779.40 Mn | 104.40 Mn | 94.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 94.16 Mn |
| Apr 30, 2026 | 92.76 Mn |
| Jan 31, 2026 | 102.66 Mn |
| Oct 31, 2025 | 98.11 Mn |
| Jul 31, 2025 | 100.84 Mn |
| Apr 30, 2025 | 110.95 Mn |
| Jan 31, 2025 | 113.19 Mn |
| Oct 31, 2024 | 108.97 Mn |
| Jul 31, 2024 | 111.88 Mn |
| Apr 30, 2024 | 113.56 Mn |
| Jan 31, 2024 | 124.19 Mn |
| Oct 31, 2023 | 109.86 Mn |
| Jul 31, 2023 | 113.96 Mn |
| Apr 30, 2023 | 101.11 Mn |
| Jan 31, 2023 | 109.11 Mn |
| Oct 31, 2022 | 108.74 Mn |
| Jul 31, 2022 | 109.77 Mn |
| Apr 30, 2022 | 102.11 Mn |
| Jan 31, 2022 | 91.78 Mn |
| Oct 31, 2021 | 84.54 Mn |
API Access
PagerDuty Operating 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=operating-expenses&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();