Upwork (UPWK) Accumulated Expenses (2017 - 2026)
Upwork (UPWK) reported Accumulated Expenses of $68.68 million for Q2 2026, up 16.9% from $58.76 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Upwork (UPWK) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Upwork posted Accumulated Expenses of $94.02 million, up 58.6% from FY2024.
- Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $59.3 million in FY2024 (+1.9%), $58.19 million in FY2023 (+8.5%), $53.61 million in FY2022 (+17.2%) and $45.74 million in FY2021 (+39.2%).
- Five-year quarterly Accumulated Expenses spans a low of $33.03 million in Q1 2022 and a high of $94.02 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last nine quarters, with growth averaging 21.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2025 (growth of 58.6%); the low point was Q1 2024 (a decline of 1.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63.99 million (Q1 2026), $94.02 million (Q4 2025) and $73.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | Upwork | 1.04 Bn | -1.47 Bn | 146.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.68 Mn |
| Mar 31, 2026 | 63.99 Mn |
| Dec 31, 2025 | 94.02 Mn |
| Sep 30, 2025 | 73.34 Mn |
| Jun 30, 2025 | 58.76 Mn |
| Mar 31, 2025 | 47.14 Mn |
| Dec 31, 2024 | 59.30 Mn |
| Sep 30, 2024 | 55.75 Mn |
| Jun 30, 2024 | 49.81 Mn |
| Mar 31, 2024 | 46.68 Mn |
| Dec 31, 2023 | 58.19 Mn |
| Sep 30, 2023 | 52.11 Mn |
| Jun 30, 2023 | 48.82 Mn |
| Mar 31, 2023 | 47.60 Mn |
| Dec 31, 2022 | 53.61 Mn |
| Sep 30, 2022 | 51.78 Mn |
| Jun 30, 2022 | 45.68 Mn |
| Mar 31, 2022 | 33.03 Mn |
| Dec 31, 2021 | 45.74 Mn |
| Sep 30, 2021 | 45.05 Mn |
API Access
Upwork 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=UPWK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "UPWK", "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=UPWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();