PubMatic (PUBM) Accumulated Expenses (2020 - 2026)
PubMatic (PUBM) recorded Accumulated Expenses of $24.23 million in Q2 2026, up 15.5% from $20.98 million a year earlier and up 30.2% from the prior quarter.
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Analysis
PubMatic (PUBM) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, PubMatic reported Accumulated Expenses of $25.28 million, down 4.1% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $26.37 million in FY2024 (+2.7%), $25.68 million in FY2023 (+35.6%), $18.94 million in FY2022 (+0.8%) and $18.78 million in FY2021 (+26.5%).
- Quarterly Accumulated Expenses has ranged from $10.68 million in Q1 2022 to $26.37 million in Q4 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with growth averaging 0.5%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 82.8% in Q2 2023, against a decline of 16.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.62 million (Q1 2026), $25.28 million (Q4 2025) and $25.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | PubMatic | 850.47 Mn | 286.02 Mn | 52.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.23 Mn |
| Mar 31, 2026 | 18.62 Mn |
| Dec 31, 2025 | 25.28 Mn |
| Sep 30, 2025 | 25.62 Mn |
| Jun 30, 2025 | 20.98 Mn |
| Mar 31, 2025 | 20.31 Mn |
| Dec 31, 2024 | 26.37 Mn |
| Sep 30, 2024 | 25.70 Mn |
| Jun 30, 2024 | 22.55 Mn |
| Mar 31, 2024 | 19.76 Mn |
| Dec 31, 2023 | 25.68 Mn |
| Sep 30, 2023 | 25.03 Mn |
| Jun 30, 2023 | 22.87 Mn |
| Mar 31, 2023 | 19.31 Mn |
| Dec 31, 2022 | 18.94 Mn |
| Sep 30, 2022 | 14.82 Mn |
| Jun 30, 2022 | 12.51 Mn |
| Mar 31, 2022 | 10.68 Mn |
| Dec 31, 2021 | 18.78 Mn |
| Sep 30, 2021 | 17.66 Mn |
API Access
PubMatic 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=PUBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PUBM", "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=PUBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();